import pandas as pd
import numpy as np
import pprint
import shap
import matplotlib.pyplot as plt
import seaborn as sns
from scipy.stats import chi2
from sklearn.preprocessing import StandardScaler
from sklearn.ensemble import RandomForestClassifier, RandomForestRegressor
from sklearn.model_selection import GridSearchCV, train_test_split, cross_val_score
from sklearn.metrics import accuracy_score, f1_score, roc_auc_score

df = pd.read_csv('DGF_AI_project_data_20241105.csv')

df.columns

Index(['study_id', 'txdate', 'dgf', 'crr2', 'crr2_lt30', 'rage', 'rsex',
       'rwhite', 'rbmi', 'tdialyr', 'pkpracat0', 'num_comorb', 'rhist_dm',
       'rhist_chd', 'rhist_chf', 'rhist_stroke', 'rhist_pvd', 'rhist_cld',
       'rhist_skin_cancer', 'rhist_non_skin_cancer', 'dage', 'dsex', 'dtype',
       'dbmi', 'ddeathcause_cva', 'cit', 'ecd', 'dcd', 'regraft', 'inductype',
       'cni_disch', 'txera', 'statusdt_censored', 'status', 'bpar',
       'first_bpardt', 'first_re_admdt'],
      dtype='object')

# Create the count plot
ax = sns.countplot(x='dgf', data=df)

# Add labels on top of the bars
for p in ax.patches:
    ax.annotate(f'{p.get_height()}', (p.get_x() + p.get_width() / 2., p.get_height()), 
                ha='center', va='baseline', fontsize=12, color='black', xytext=(0, 5), 
                textcoords='offset points')

# Show the plot
plt.show()

df['dgf'].value_counts(normalize=True)

dgf
No     0.648358
Yes    0.351642
Name: proportion, dtype: float64

df_cleaned['crr2_lt30'].replace({0: 'Non-DGF', 1: 'DGF'}, inplace=True)

# Create the count plot
ax = sns.countplot(x='crr2_lt30', data=df_cleaned)

# Add labels on top of the bars
for p in ax.patches:
    ax.annotate(f'{p.get_height()}', (p.get_x() + p.get_width() / 2., p.get_height()), 
                ha='center', va='baseline', fontsize=12, color='black', xytext=(0, 5), 
                textcoords='offset points')

# Show the plot
plt.show()

df_cleaned['crr2_lt30'].value_counts(normalize=True, ascending=True)

crr2_lt30
Non-DGF    0.44965
DGF        0.55035
Name: proportion, dtype: float64

sns.histplot(df['rage'], kde=True)

<Axes: xlabel='rage', ylabel='Count'>

sns.histplot(df['crr2'], kde=True)

<Axes: xlabel='crr2', ylabel='Count'>

# Define the bins and labels
bins = list(range(-40, 80, 10))
labels = [f'{i} to {i+10}' for i in range(-40, 70, 10)]

# Create clusters for 'crr2'
df['crr2_cluster'] = pd.cut(df['crr2'], bins=bins, labels=labels, right=False)

# Group by the new clusters and DGF
grouped = df.groupby(['crr2_cluster', 'dgf']).size().unstack(fill_value=0)

# Plot the results
grouped.plot(kind='bar')
plt.xlabel('CRR2 Cluster (%)')
plt.ylabel('Count')
plt.title('DGF by CRR2 Clusters')
plt.show()

/tmp/ipykernel_310795/1026860107.py:9: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  grouped = df.groupby(['crr2_cluster', 'dgf']).size().unstack(fill_value=0)

# Calculate the ratio of DGF 'yes' in pracat0 categories
ratio_df = df.groupby('crr2_cluster')['dgf'].apply(lambda x: (x == 'Yes').mean()).reset_index()
ratio_df.columns = ['crr2_cluster', 'DGF_yes_ratio']

ratio_df

/tmp/ipykernel_310795/4017233068.py:2: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  ratio_df = df.groupby('crr2_cluster')['dgf'].apply(lambda x: (x == 'Yes').mean()).reset_index()

sns.histplot(df['cit'], kde=True)

<Axes: xlabel='cit', ylabel='Count'>

# Define the bins and labels
bins = [5, 10, 15, 20, 30, 35]
labels = ['5-10', '10-15', '15-20', '20-30', '30-35']

# Create clusters for 'cit'
df['cit_cluster'] = pd.cut(df['cit'], bins=bins, labels=labels, right=False)

# Group by the new clusters and DGF
grouped = df.groupby(['cit_cluster', 'dgf']).size().unstack(fill_value=0)

# Plot the results
grouped.plot(kind='bar')
plt.xlabel('CIT Cluster (hours)')
plt.ylabel('Count')
plt.title('DGF by CIT Clusters')
plt.show()

/tmp/ipykernel_310795/3198471023.py:9: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  grouped = df.groupby(['cit_cluster', 'dgf']).size().unstack(fill_value=0)

# Calculate the ratio of DGF 'yes' in cit categories
ratio_df = df.groupby('cit_cluster')['dgf'].apply(lambda x: (x == 'Yes').mean()).reset_index()
ratio_df.columns = ['cit_cluster', 'DGF_yes_ratio']

ratio_df

/tmp/ipykernel_310795/444124198.py:2: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  ratio_df = df.groupby('cit_cluster')['dgf'].apply(lambda x: (x == 'Yes').mean()).reset_index()

# Create the count plot
ax = sns.countplot(x='pkpracat0', data=df)

# Add labels on top of the bars
for p in ax.patches:
    ax.annotate(f'{p.get_height()}', (p.get_x() + p.get_width() / 2., p.get_height()), 
                ha='center', va='baseline', fontsize=12, color='black', xytext=(0, 5), 
                textcoords='offset points')

# Show the plot
plt.show()

df['pkpracat0'].value_counts(normalize=True)

pkpracat0
pkPRA=0%    0.533455
pkPRA>0%    0.466545
Name: proportion, dtype: float64

# Create the count plot
ax = sns.countplot(x='pkpracat0', hue='dgf', data=df)

# Add labels on top of the bars
for p in ax.patches:
    ax.annotate(f'{p.get_height()}', (p.get_x() + p.get_width() / 2., p.get_height()), 
                ha='center', va='baseline', fontsize=12, color='black', xytext=(0, 5), 
                textcoords='offset points')

# Show the plot
plt.show()

# Calculate the ratio of DGF 'yes' in pracat0 categories
ratio_df = df.groupby('pkpracat0')['dgf'].apply(lambda x: (x == 'Yes').mean()).reset_index()
ratio_df.columns = ['pkpracat0', 'DGF_yes_ratio']

ratio_df

sns.histplot(df['dbmi'], kde=True)

<Axes: xlabel='dbmi', ylabel='Count'>

sns.histplot(df['tdialyr'], kde=True)

<Axes: xlabel='tdialyr', ylabel='Count'>

# Define the bins and labels
bins = [0, 2, 4, 6, 8]
labels = ['0-2', '2-4', '4-6', '6-8']

# Create clusters for 'tdialyr'
df['tdialyr_cluster'] = pd.cut(df['tdialyr'], bins=bins, labels=labels, right=False)

# Group by the new clusters and DGF
grouped = df.groupby(['tdialyr_cluster', 'dgf']).size().unstack(fill_value=0)

# Plot the results
grouped.plot(kind='bar')
plt.xlabel('tdialyr Cluster (years)')
plt.ylabel('Count')
plt.title('DGF by tdialyr Clusters')
plt.show()

/tmp/ipykernel_310795/803184929.py:9: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  grouped = df.groupby(['tdialyr_cluster', 'dgf']).size().unstack(fill_value=0)

# Calculate the ratio of DGF 'yes' in tdialyr categories
ratio_df = df.groupby('tdialyr_cluster')['dgf'].apply(lambda x: (x == 'Yes').mean()).reset_index()
ratio_df.columns = ['tdialyr_cluster', 'DGF_yes_ratio']

ratio_df

/tmp/ipykernel_310795/411293207.py:2: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  ratio_df = df.groupby('tdialyr_cluster')['dgf'].apply(lambda x: (x == 'Yes').mean()).reset_index()

# Create the count plot
ax = sns.countplot(x='rsex', data=df)

# Add labels on top of the bars
for p in ax.patches:
    ax.annotate(f'{p.get_height()}', (p.get_x() + p.get_width() / 2., p.get_height()), 
                ha='center', va='baseline', fontsize=12, color='black', xytext=(0, 5), 
                textcoords='offset points')

# Show the plot
plt.show()

df['rsex'].value_counts(normalize=True)

rsex
Male      0.626817
Female    0.373183
Name: proportion, dtype: float64

# Create the count plot
ax = sns.countplot(x='rsex', hue='dgf', data=df)

# Add labels on top of the bars
for p in ax.patches:
    ax.annotate(f'{p.get_height()}', (p.get_x() + p.get_width() / 2., p.get_height()), 
                ha='center', va='baseline', fontsize=12, color='black', xytext=(0, 5), 
                textcoords='offset points')

# Show the plot
plt.show()

# Calculate the ratio of DGF 'yes' in sex categories
ratio_df = df.groupby('rsex')['dgf'].apply(lambda x: (x == 'Yes').mean()).reset_index()
ratio_df.columns = ['rsex', 'DGF_yes_ratio']

ratio_df

# Create the count plot
ax = sns.countplot(x='rwhite', data=df)

# Add labels on top of the bars
for p in ax.patches:
    ax.annotate(f'{p.get_height()}', (p.get_x() + p.get_width() / 2., p.get_height()), 
                ha='center', va='baseline', fontsize=12, color='black', xytext=(0, 5), 
                textcoords='offset points')

# Show the plot
plt.show()

df['rwhite'].value_counts(normalize=True)

rwhite
White        0.508403
Non-white    0.491597
Name: proportion, dtype: float64

# Create the count plot
ax = sns.countplot(x='rwhite', hue='dgf', data=df)

# Add labels on top of the bars
for p in ax.patches:
    ax.annotate(f'{p.get_height()}', (p.get_x() + p.get_width() / 2., p.get_height()), 
                ha='center', va='baseline', fontsize=12, color='black', xytext=(0, 5), 
                textcoords='offset points')

# Show the plot
plt.show()

# Calculate the ratio of DGF 'yes' in race categories
ratio_df = df.groupby('rwhite')['dgf'].apply(lambda x: (x == 'Yes').mean()).reset_index()
ratio_df.columns = ['rwhite', 'DGF_yes_ratio']

ratio_df

# Create the count plot
ax = sns.countplot(x='txera', data=df)

# Add labels on top of the bars
for p in ax.patches:
    ax.annotate(f'{p.get_height()}', (p.get_x() + p.get_width() / 2., p.get_height()), 
                ha='center', va='baseline', fontsize=12, color='black', xytext=(0, 5), 
                textcoords='offset points')

# Show the plot
plt.show()

df['txera'].value_counts(normalize=True)

txera
Txyr 2016-May2022    0.437803
Txyr 2009-2015       0.312332
Txyr 2000-2008       0.249865
Name: proportion, dtype: float64

sns.countplot(x='txera', hue='dgf', data=df)

<Axes: xlabel='txera', ylabel='count'>

# Calculate the ratio of DGF 'yes' in pracat0 categories
ratio_df = df.groupby('txera')['dgf'].apply(lambda x: (x == 'Yes').mean()).reset_index()
ratio_df.columns = ['txera', 'DGF_yes_ratio']

ratio_df

# Create the count plot
ax = sns.countplot(x='cni_disch', data=df)

# Add labels on top of the bars
for p in ax.patches:
    ax.annotate(f'{p.get_height()}', (p.get_x() + p.get_width() / 2., p.get_height()), 
                ha='center', va='baseline', fontsize=12, color='black', xytext=(0, 5), 
                textcoords='offset points')

# Show the plot
plt.show()

df['cni_disch'].value_counts(normalize=True)

cni_disch
Tacrolimus      0.868539
Cyclosporine    0.131461
Name: proportion, dtype: float64

# Create the count plot
ax = sns.countplot(x='cni_disch', hue='dgf', data=df)

# Add labels on top of the bars
for p in ax.patches:
    ax.annotate(f'{p.get_height()}', (p.get_x() + p.get_width() / 2., p.get_height()), 
                ha='center', va='baseline', fontsize=12, color='black', xytext=(0, 5), 
                textcoords='offset points')

# Show the plot
plt.show()

# Calculate the ratio of DGF 'yes' in cni discharge categories
ratio_df = df.groupby('cni_disch')['dgf'].apply(lambda x: (x == 'Yes').mean()).reset_index()
ratio_df.columns = ['cni_disch', 'DGF_yes_ratio']

ratio_df

# Create the count plot
ax = sns.countplot(x='inductype', data=df)

# Add labels on top of the bars
for p in ax.patches:
    ax.annotate(f'{p.get_height()}', (p.get_x() + p.get_width() / 2., p.get_height()), 
                ha='center', va='baseline', fontsize=12, color='black', xytext=(0, 5), 
                textcoords='offset points')

# Show the plot
plt.show()

df['inductype'].value_counts(normalize=True)

inductype
Depleting agent        0.770556
Non-depleting agent    0.229444
Name: proportion, dtype: float64

# Create the count plot
ax = sns.countplot(x='inductype', hue='dgf', data=df)

# Add labels on top of the bars
for p in ax.patches:
    ax.annotate(f'{p.get_height()}', (p.get_x() + p.get_width() / 2., p.get_height()), 
                ha='center', va='baseline', fontsize=12, color='black', xytext=(0, 5), 
                textcoords='offset points')

# Show the plot
plt.show()

# Calculate the ratio of DGF 'yes' in induction type categories
ratio_df = df.groupby('inductype')['dgf'].apply(lambda x: (x == 'Yes').mean()).reset_index()
ratio_df.columns = ['inductype', 'DGF_yes_ratio']

ratio_df

# Create the count plot
ax = sns.countplot(x='dcd', hue='dgf', data=df)

# Add labels on top of the bars
for p in ax.patches:
    ax.annotate(f'{p.get_height()}', (p.get_x() + p.get_width() / 2., p.get_height()), 
                ha='center', va='baseline', fontsize=12, color='black', xytext=(0, 5), 
                textcoords='offset points')

# Show the plot
plt.show()

# Calculate the ratio of DGF 'yes' in induction type categories
ratio_df = df.groupby('dcd')['dgf'].apply(lambda x: (x == 'Yes').mean()).reset_index()
ratio_df.columns = ['dcd', 'DGF_yes_ratio']

ratio_df

df = pd.read_csv('DGF_AI_project_data_20241105.csv')

# Create the count plot
ax = sns.countplot(x='status', data=df)

# Add labels on top of the bars
for p in ax.patches:
    ax.annotate(f'{p.get_height()}', (p.get_x() + p.get_width() / 2., p.get_height()), 
                ha='center', va='baseline', fontsize=12, color='black', xytext=(0, 5), 
                textcoords='offset points')

# Show the plot
plt.show()

# Calculate total counts
total_counts = df['status'].value_counts()

# Calculate normalized counts (percentages)
normalized_counts = df['status'].value_counts(normalize=True)

# Combine both into a single DataFrame
counts_df = pd.DataFrame({'Total': total_counts, 'Normalized': normalized_counts})

counts_df

# Create the count plot
ax = sns.countplot(x='status', hue='dgf', data=df)

# Add labels on top of the bars
for p in ax.patches:
    ax.annotate(f'{p.get_height()}', (p.get_x() + p.get_width() / 2., p.get_height()), 
                ha='center', va='baseline', fontsize=12, color='black', xytext=(0, 5), 
                textcoords='offset points')

# Show the plot
plt.show()

# Calculate the ratio of DGF 'yes' in status categories
ratio_df = df.groupby('status')['dgf'].apply(lambda x: (x == 'Yes').mean()).reset_index()
ratio_df.columns = ['status', 'DGF_yes_ratio']

ratio_df

sns.scatterplot(x='dage', y='rage', hue='dgf', data=df)

<Axes: xlabel='dage', ylabel='rage'>

sns.scatterplot(x='dbmi', y='rbmi', hue='dgf', data=df)

<Axes: xlabel='dbmi', ylabel='rbmi'>

# Convert first_re_admdt and transplant_date to datetime
df['first_re_admdt'] = pd.to_datetime(df['first_re_admdt'], errors='coerce')
df['txdate'] = pd.to_datetime(df['txdate'], errors='coerce')

# Calculate the time difference in days between transplant and first readmission
df['days_to_readmission'] = (df['first_re_admdt'] - df['txdate']).dt.days

# Drop rows with missing values in the new column
df_cleaned = df.dropna(subset=['days_to_readmission'])

# Visualize the distribution of days_to_readmission for DGF and Non-DGF patients
sns.histplot(df['days_to_readmission'], kde=True)

<Axes: xlabel='days_to_readmission', ylabel='Count'>

# Create bins from 0 to 120 days with differences of 20
bins = list(range(0, 120, 20))
labels = [f'{i}-{i+20}' for i in range(0, 100, 20)]

# Assign bins to the 'days_to_readmission' column
df_cleaned['days_to_readmission_bin'] = pd.cut(df_cleaned['days_to_readmission'], bins=bins, labels=labels, right=False)

# Visualize the distribution of days_to_readmission for DGF and Non-DGF patients using countplot
sns.countplot(data=df_cleaned, x='days_to_readmission_bin', hue='dgf')
plt.xlabel('Days to Readmission')
plt.ylabel('Count')
plt.title('Distribution of Days to Readmission for DGF and Non-DGF Patients')
plt.show()

/tmp/ipykernel_703349/1357962938.py:6: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  df_cleaned['days_to_readmission_bin'] = pd.cut(df_cleaned['days_to_readmission'], bins=bins, labels=labels, right=False)

# Calculate the ratio of DGF 'yes' in status categories
ratio_df = df_cleaned.groupby('days_to_readmission_bin')['dgf'].apply(lambda x: (x == 'Yes').mean()).reset_index()
ratio_df.columns = ['days_to_readmission_bin', 'DGF_yes_ratio']

ratio_df

/tmp/ipykernel_310795/3553670104.py:2: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  ratio_df = df_cleaned.groupby('days_to_readmission_bin')['dgf'].apply(lambda x: (x == 'Yes').mean()).reset_index()

# Convert date columns
df['txdate'] = pd.to_datetime(df['txdate'])
df['statusdt_censored'] = pd.to_datetime(df['statusdt_censored'])

# Calculate the number of days from transplant to status date
df['days_to_status'] = (df['statusdt_censored'] - df['txdate']).dt.days

# Define categories for status
status_categories = df['status'].unique()

# Create separate plots for each status category and compare DGF (Yes/No)
for status in status_categories:
    subset_df = df[df['status'] == status]
    
    plt.figure(figsize=(10, 6))
    sns.histplot(data=subset_df, x='days_to_status', hue='dgf')
    plt.title(f'Distribution of Days to {status} by DGF Status')
    plt.xlabel('Days to Status (Vital Status Date - Transplant Date)')
    plt.ylabel('Count')
    plt.show()

df_grouped = df.groupby(['status'])['days_to_status'].agg(['mean', 'median', 'count']).reset_index()
df_grouped

df_grouped = df.groupby(['status', 'dgf'])['days_to_status'].agg(['mean', 'median', 'count']).reset_index()
df_grouped

sns.pairplot(df, hue='dgf')

<seaborn.axisgrid.PairGrid at 0x7ff1afba20b0>

sns.pairplot(df, hue='crr2_lt30')

<seaborn.axisgrid.PairGrid at 0x7ff0dd806bf0>

df_cleaned = df.drop(columns=['study_id'])

df_cleaned['dtype'].value_counts()

dtype
Deceased    1857
Name: count, dtype: int64

df_cleaned = df_cleaned.drop(columns=['dtype'])

df_cleaned.columns

Index(['txdate', 'dgf', 'crr2', 'crr2_lt30', 'rage', 'rsex', 'rwhite', 'rbmi',
       'tdialyr', 'pkpracat0', 'num_comorb', 'rhist_dm', 'rhist_chd',
       'rhist_chf', 'rhist_stroke', 'rhist_pvd', 'rhist_cld',
       'rhist_skin_cancer', 'rhist_non_skin_cancer', 'dage', 'dsex', 'dbmi',
       'ddeathcause_cva', 'cit', 'ecd', 'dcd', 'regraft', 'inductype',
       'cni_disch', 'txera', 'statusdt_censored', 'status', 'bpar',
       'first_bpardt', 'first_re_admdt'],
      dtype='object')

df_cleaned.drop(columns=['txdate', 'statusdt_censored', 'first_bpardt', 'first_re_admdt'], inplace=True)

df_cleaned.drop(columns=['num_comorb', 'cni_disch', 'txera', 'bpar', 'status'], inplace=True)

# Calculate the count and percentage of missing values
missing_data = df_cleaned.isnull().sum().to_frame(name='Missing Count')
missing_data['Percentage'] = (df_cleaned.isnull().sum() / len(df_cleaned) * 100).round(2)

missing_data

missing_data[missing_data['Missing Count']>0]

df['first_bpardt'].isna().sum(), len(df[df['bpar']==0])

(np.int64(1641), 1641)

df[df['bpar']==0][['bpar','first_bpardt']].sample(10)

# df_cleaned['days_to_readmission'] = (pd.to_datetime(df_cleaned['first_re_admdt']) - pd.to_datetime(df_cleaned['txdate'])).dt.days
# df_cleaned['days_to_status'] = (pd.to_datetime(df_cleaned['statusdt_censored']) - pd.to_datetime(df_cleaned['txdate'])).dt.days
# df_cleaned['days_to_bpar'] = (pd.to_datetime(df_cleaned['first_bpardt']) - pd.to_datetime(df_cleaned['txdate'])).dt.days.fillna(0)
# df_cleaned = df_cleaned.drop(columns=['first_re_admdt', 'statusdt_censored', 'txdate', 'first_bpardt'])

# Summary for categorical variables
cat_summary = df_cleaned.describe(include='object')

for col in cat_summary.columns:
    print(f"{col}:", df_cleaned[col].unique())

dgf: ['No' 'Yes']
crr2_lt30: ['> 30%' '<= 30%' nan]
rsex: ['Female' 'Male']
rwhite: ['White' nan 'Non-white']
pkpracat0: ['pkPRA>0%' 'pkPRA=0%' nan]
rhist_dm: ['No' 'Yes' nan]
rhist_chd: ['No' 'Yes' nan]
rhist_chf: ['No' 'Yes' nan]
rhist_stroke: ['No' 'Yes' nan]
rhist_pvd: ['Yes' 'No' nan]
rhist_cld: ['Yes' 'No' nan]
rhist_skin_cancer: ['No' 'Yes' nan]
rhist_non_skin_cancer: ['No' 'Yes' nan]
dsex: ['Female' 'Male' nan]
ddeathcause_cva: ['Others' 'Stroke (CVA)' nan]
ecd: ['ECD' 'Non-ECD']
dcd: ['No' 'Yes']
inductype: ['Depleting agent' 'Non-depleting agent' nan]

# Define mappings for each categorical column based on the provided unique values
mappings = {
    'dgf': {'No': 0, 'Yes': 1},
    'crr2_lt30': {'> 30%': 0, '<= 30%': 1},
    'rsex': {'Male': 0, 'Female': 1},
    'rwhite': {'Non-white': 0, 'White': 1},
    'pkpracat0': {'pkPRA=0%': 0, 'pkPRA>0%': 1},
    'rhist_dm': {'No': 0, 'Yes': 1},
    'rhist_chd': {'No': 0, 'Yes': 1},
    'rhist_chf': {'No': 0, 'Yes': 1},
    'rhist_stroke': {'No': 0, 'Yes': 1},
    'rhist_pvd': {'No': 0, 'Yes': 1},
    'rhist_cld': {'No': 0, 'Yes': 1},
    'rhist_skin_cancer': {'No': 0, 'Yes': 1},
    'rhist_non_skin_cancer': {'No': 0, 'Yes': 1},
    'dsex': {'Male': 0, 'Female': 1},
    'ddeathcause_cva': {'Others': 0, 'Stroke (CVA)': 1},
    'ecd': {'Non-ECD': 0, 'ECD': 1},
    'dcd': {'No': 0, 'Yes': 1},
    'inductype': {'Depleting agent': 0, 'Non-depleting agent': 1},
}

# Apply mappings to the DataFrame
for column, mapping in mappings.items():
    df_cleaned[column] = df_cleaned[column].map(mapping)

df_cleaned = df_cleaned[~df_cleaned['crr2_lt30'].isna()]

# Function to impute missing values in a column using RandomForestClassifier
def impute_column(df, col):
    # Separate the rows with and without missing values
    df_missing = df[df[col].isnull()]
    df_not_missing = df[df[col].notnull()]
    
    # If there are no missing values, return the original DataFrame
    if df_missing.empty:
        return df
    
    # Prepare the training data
    X = df_not_missing.drop(columns=[col])
    y = df_not_missing[col]
    
    # Prepare the data to predict
    X_missing = df_missing.drop(columns=[col])
    
    # Train the model
    model = RandomForestClassifier()
    model.fit(X, y)
    
    # Predict the missing values
    df.loc[df[col].isnull(), col] = model.predict(X_missing)
    
    return df

# Apply the imputation function to each categorical column
for col in cat_summary.columns:
    df_cleaned = impute_column(df_cleaned, col)

df_cleaned.sample(10)

def little_mcar_test(data, alpha=0.05):
    """
    Performs Little's MCAR (Missing Completely At Random) test on a dataset with missing values.
    
    Parameters:
    data (DataFrame): A pandas DataFrame with n observations and p variables, where some values are missing.
    alpha (float): The significance level for the hypothesis test (default is 0.05).
    
    Returns:
    A tuple containing:
    - A matrix of missing values that represents the pattern of missingness in the dataset.
    - A p-value representing the significance of the MCAR test.
    """
    
    # Calculate the proportion of missing values in each variable
    p_m = data.isnull().mean()
    
    # Calculate the proportion of complete cases for each variable
    p_c = data.dropna().shape[0] / data.shape[0]
    
    # Calculate the correlation matrix for all pairs of variables that have complete cases
    R_c = data.dropna().corr()
    
    # Calculate the correlation matrix for all pairs of variables using all observations
    R_all = data.corr()
    
    # Calculate the difference between the two correlation matrices
    R_diff = R_all - R_c
    
    # Calculate the variance of the R_diff matrix
    V_Rdiff = np.var(R_diff, ddof=1)
    
    # Calculate the expected value of V_Rdiff under the null hypothesis that the missing data is MCAR
    E_Rdiff = (1 - p_c) / (1 - p_m).sum()
    
    # Calculate the test statistic
    T = np.trace(R_diff) / np.sqrt(V_Rdiff * E_Rdiff)
    
    # Calculate the degrees of freedom
    df = data.shape[1] * (data.shape[1] - 1) / 2
    
    # Calculate the p-value using a chi-squared distribution with df degrees of freedom and the test statistic T
    p_value = 1 - chi2.cdf(T ** 2, df)
    
    # Create a matrix of missing values that represents the pattern of missingness in the dataset
    missingness_matrix = data.isnull().astype(int)
    
    # Return the missingness matrix and the p-value
    return missingness_matrix, p_value

missingness_matrix, p_value = little_mcar_test(df_cleaned)

/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/numpy/_core/fromnumeric.py:4006: FutureWarning: The behavior of DataFrame.var with axis=None is deprecated, in a future version this will reduce over both axes and return a scalar. To retain the old behavior, pass axis=0 (or do not pass axis)
  return var(axis=axis, dtype=dtype, out=out, ddof=ddof, **kwargs)

p_value

array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
       1., 1., 1., 1., 1., 1., 1., 1., 1.])

# # Fill missing values with the ratio of unique values of non-missing values
# for col in cat_summary.columns:
#     if df_cleaned[col].isnull().any():
#         value_counts = df_cleaned[col].value_counts(normalize=True)
#         random_numbers = np.random.rand(df_cleaned[col].isnull().sum())
#         cumulative_distribution = value_counts.cumsum()
#         fill_values = [value_counts.index[(cumulative_distribution >= rn).argmax()] for rn in random_numbers]
#         df_cleaned.loc[df_cleaned[col].isnull(), col] = fill_values

# Summary for numerical variables
num_summary = df_cleaned.describe()

num_summary

df.describe()

# Function to impute missing values in a column using RandomForestClassifier
def impute_cont_column(df, col):
    # Separate the rows with and without missing values
    df_missing = df[df[col].isnull()]
    df_not_missing = df[df[col].notnull()]
    
    # If there are no missing values, return the original DataFrame
    if df_missing.empty:
        return df
    
    # Prepare the training data
    X = df_not_missing.drop(columns=[col])
    y = df_not_missing[col]
    
    # Prepare the data to predict
    X_missing = df_missing.drop(columns=[col])
    
    # Train the model
    model = RandomForestRegressor()
    model.fit(X, y)
    
    # Predict the missing values
    df.loc[df[col].isnull(), col] = model.predict(X_missing)
    
    return df

# Apply the imputation function to each continous column
for col in num_summary.columns:
    df_cleaned = impute_cont_column(df_cleaned, col)

# for col in num_summary.columns:
#     df_cleaned[col] = df_cleaned[col].fillna(df_cleaned[col].median())

df_cleaned = df_cleaned[df_cleaned['tdialyr'] >= 0].reset_index(drop=True)
df_cleaned.describe()

# Calculate the count and percentage of missing values
missing_data = df_cleaned.isnull().sum().to_frame(name='Missing Count')
missing_data['Percentage'] = (df_cleaned.isnull().sum() / len(df_cleaned) * 100).round(2)

missing_data

df_cleaned.to_csv('DGF_Cleaned.csv', index=False)

# df_cleaned = pd.read_csv('DGF_Cleaned.csv')

X, y_dgf, y_crr2_lt30, y_crr2 = df_cleaned.drop(columns=["crr2_lt30", "dgf", "crr2"]), df_cleaned['dgf'], df_cleaned['crr2_lt30'], df_cleaned['crr2']

X.sample(10)

X.describe()

X.columns

Index(['rage', 'rsex', 'rwhite', 'rbmi', 'tdialyr', 'pkpracat0', 'rhist_dm',
       'rhist_chd', 'rhist_chf', 'rhist_stroke', 'rhist_pvd', 'rhist_cld',
       'rhist_skin_cancer', 'rhist_non_skin_cancer', 'dage', 'dsex', 'dbmi',
       'ddeathcause_cva', 'cit', 'ecd', 'dcd', 'regraft', 'inductype'],
      dtype='object')

len(X.columns)

23

normalized_vars = ['rage', 'rbmi', 'tdialyr', 'dage', 'dbmi', 'cit']

# Initialize the StandardScaler
scaler = StandardScaler()

# Fit and transform the numerical columns
X[normalized_vars] = scaler.fit_transform(X[normalized_vars])

X.describe()

model_df = {}

def model_evaluation(model, X, y):
    # Splitting the data into training and testing sets
    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

    # Fitting the model
    model.fit(X_train, y_train)

    # Predicting the test set
    y_pred = model.predict(X_test)

    # Predict probabilities for AUC score
    y_prob = model.predict_proba(X_test)[:, 1]  # Assuming binary classification

    # Calculating accuracy
    accuracy = accuracy_score(y_test, y_pred)
    
    # Calculating AUC score
    auc = roc_auc_score(y_test, y_prob)

    # Calculating F1 scores for both classes
    f1_class1 = f1_score(y_test, y_pred, pos_label=1)  # For Class 1
    f1_class2 = f1_score(y_test, y_pred, pos_label=0)  # For Class 2

    # Cross-validation score
    cross_val_avg = np.mean(cross_val_score(model, X, y, cv=5))

    # Printing out the results
    print(f"Model: {model}")
    print(f"Accuracy: {accuracy:.4f}")
    print(f"AUC: {auc:.4f}")
    print(f"F1 Score (Class 1): {f1_class1:.4f}")
    print(f"F1 Score (Class 2): {f1_class2:.4f}")
    print(f"Average Cross-validation Score: {cross_val_avg:.4f}")

    # Storing the cross-validation score in a dictionary
    model_df[model] = {
        'Accuracy': round(accuracy, 4),
        'AUC': round(auc, 4),
        'F1 Score Class 1': round(f1_class1, 4),
        'F1 Score Class 2': round(f1_class2, 4),
        'Cross-validation Score': round(cross_val_avg, 4)
    }

from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import GridSearchCV
from sklearn.metrics import roc_auc_score, accuracy_score, f1_score, precision_score, recall_score, confusion_matrix, make_scorer
import pandas as pd
import numpy as np

# Random states, criterion, n_estimators, max_depth to search
param_grid = {
    'random_state': [32, 100, 777, 2022, 8888],
    'criterion': ['gini', 'entropy', 'log_loss'],
    'n_estimators': [8, 16, 50, 100, 150, 200],
    'max_depth': [2, 4, 8, 16, 32]
}

# Custom scorer for specificity
def specificity_score(y_true, y_pred):
    tn, fp, fn, tp = confusion_matrix(y_true, y_pred).ravel()
    return tn / (tn + fp)

# Custom scorer for weighted specificity
def weighted_specificity_score(y_true, y_pred):
    cm = confusion_matrix(y_true, y_pred)
    tn = cm[0][0]
    fp = cm[0][1]
    fn = cm[1][0]
    tp = cm[1][1]
    specificity = tn / (tn + fp)
    return specificity

# Define scoring dictionary
scoring = {
    'AUC': 'roc_auc',
    'Accuracy': 'accuracy',
    'F1_weighted': make_scorer(f1_score, average='weighted'),
    'Sensitivity': make_scorer(recall_score, pos_label=1),
    'Specificity': make_scorer(specificity_score),
    'Precision': make_scorer(precision_score, pos_label=1, zero_division=0),
    'Recall': make_scorer(recall_score, pos_label=1),
    'Sensitivity_weighted': make_scorer(recall_score, average='weighted'),
    'Specificity_weighted': make_scorer(weighted_specificity_score),
    'Precision_weighted': make_scorer(precision_score, average='weighted', zero_division=0),
    'Recall_weighted': make_scorer(recall_score, average='weighted')
}

def calculate_confidence_interval(data):
    mean = np.mean(data)
    std_err = np.std(data) / np.sqrt(len(data))
    ci = 1.96 * std_err
    return mean, ci

def run_grid_search(X, y):
    # Set up the Random Forest Classifier and GridSearchCV
    rf = RandomForestClassifier()
    grid_search = GridSearchCV(estimator=rf, param_grid=param_grid, scoring=scoring, cv=5, n_jobs=-1, return_train_score=True, refit='Accuracy')
    
    # Fit the grid search on the entire dataset
    grid_search.fit(X, y)
    
    # Access all the results
    results = pd.DataFrame(grid_search.cv_results_)
    
    # Sort the models by mean test accuracy score
    results = results.sort_values(by='mean_test_AUC', ascending=False)
    
    # Get top N models by mean test accuracy score
    top_models = results
    
    top_models_metrics = []
    
    for i, row in top_models.iterrows():
        params = {key: row['param_' + key] for key in param_grid}
        
        # Collect mean metrics and confidence intervals from cross-validation results
        metrics = {
            'AUC': f"{round(row['mean_test_AUC'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_AUC'] for j in range(5)])[1], 4)}",
            'Accuracy': f"{round(row['mean_test_Accuracy'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Accuracy'] for j in range(5)])[1], 4)}",
            'F1_weighted': f"{round(row['mean_test_F1_weighted'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_F1_weighted'] for j in range(5)])[1], 4)}",
            'Sensitivity': f"{round(row['mean_test_Sensitivity'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Sensitivity'] for j in range(5)])[1], 4)}",
            'Specificity': f"{round(row['mean_test_Specificity'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Specificity'] for j in range(5)])[1], 4)}",
            'Precision': f"{round(row['mean_test_Precision'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Precision'] for j in range(5)])[1], 4)}",
            'Recall': f"{round(row['mean_test_Recall'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Recall'] for j in range(5)])[1], 4)}",
            'Sensitivity_weighted': f"{round(row['mean_test_Sensitivity_weighted'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Sensitivity_weighted'] for j in range(5)])[1], 4)}",
            'Specificity_weighted': f"{round(row['mean_test_Specificity_weighted'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Specificity_weighted'] for j in range(5)])[1], 4)}",
            'Precision_weighted': f"{round(row['mean_test_Precision_weighted'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Precision_weighted'] for j in range(5)])[1], 4)}",
            'Recall_weighted': f"{round(row['mean_test_Recall_weighted'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Recall_weighted'] for j in range(5)])[1], 4)}",
            'params': params,
        }
        
        top_models_metrics.append(metrics)
    
    return pd.DataFrame(top_models_metrics), grid_search.best_estimator_

# all_metrics, best_model, X_train, X_test, y_train, y_test = run_grid_search(X, y_dgf)
all_metrics, best_model = run_grid_search(X,y_dgf)

/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/numpy/ma/core.py:2846: RuntimeWarning: invalid value encountered in cast
  _data = np.array(data, dtype=dtype, copy=copy,

# all_metrics, best_model, X_train, X_test, y_train, y_test = run_grid_search(X, y_dgf)
new_all_metrics, new_best_model = run_grid_search(X,y_dgf)

new_all_metrics[new_all_metrics['AUC'] > '0.709'].sort_values(by='F1_weighted', ascending=False).reset_index(drop=True)

all_metrics.columns

Index(['AUC', 'Accuracy', 'F1_weighted', 'Sensitivity', 'Specificity',
       'Precision', 'Recall', 'params'],
      dtype='object')

all_metrics.to_csv('original_metrics_rf_dgf.csv', index=False)

new_all_metrics.to_csv('all_metrics_rf_dgf_dialysis.csv', index=False)

# X_train, X_test, y_train, y_test = train_test_split(X, y_crr2_lt30, test_size=0.2, random_state=42)

# X_train, X_test, y_train, y_test = train_test_split(X, y_dgf, test_size=0.2, random_state=42)

# X_train.to_csv('X_train_without_crr2.csv',index=False)
# X_test.to_csv('X_test_without_crr2.csv',index=False)
# y_train.to_csv('y_dgf_train_without_crr2.csv',index=False)
# y_test.to_csv('y_dgf_test_without_crr2.csv',index=False)

first_all_metrics = all_metrics
first_best_model = best_model

first_all_metrics.to_csv('predict_dgf_result_rf_not_normalized.csv', index=False)

new_all_metrics

new_all_metrics.loc[1]['params']

{'random_state': 2022,
 'criterion': 'entropy',
 'n_estimators': 200,
 'max_depth': 32}

best_model

RandomForestClassifier(criterion='entropy', max_depth=32, n_estimators=200,
                       random_state=2022)

RandomForestClassifier(criterion='entropy', max_depth=32, n_estimators=200,
                       random_state=2022)

best_auc_test = new_all_metrics.sort_values(by=['AUC'], ascending=False).reset_index(drop=True)

# Set the option to display the entire DataFrame
pd.set_option('display.max_rows', None)
pd.set_option('display.max_columns', None)
best_auc_test.head(10)

# Set the option to display the entire DataFrame
pd.set_option('display.max_rows', None)
pd.set_option('display.max_columns', None)
best_auc_test.head(10)

best_auc_test.loc[1]['params']

{'random_state': 2022,
 'criterion': 'log_loss',
 'n_estimators': 200,
 'max_depth': 4}

best_model = RandomForestClassifier(**{'random_state': 2022, 'criterion': 'log_loss', 'n_estimators': 100, 'max_depth': 16})
X_train, X_test, y_train, y_test = train_test_split(X, y_crr2_lt30, test_size=0.2, random_state=2022)
best_model.fit(X_train, y_train)

RandomForestClassifier(criterion='log_loss', max_depth=16, random_state=2022)

RandomForestClassifier(criterion='log_loss', max_depth=16, random_state=2022)

# SHAP analysis
def shap_analysis(model, X_train, X_test):
    explainer = shap.TreeExplainer(model)
    
    # Calculate SHAP values for test set
    shap_values = explainer.shap_values(X_test)
    
    # Summary plot
    shap.summary_plot(shap_values[:,:,1], X_test)

explainer = shap.TreeExplainer(best_model)

# Calculate SHAP values for test set
shap_values = explainer.shap_values(X_test)

shap.summary_plot(shap_values[:,:,1], X_test, plot_type='bar')

# Create SHAP explainer
explainer = shap.TreeExplainer(best_model)

# Calculate SHAP values
shap_values = explainer(X_test)

shap.plots.bar(shap_values[:,:,0])

 shap_analysis(best_model, X_train, X_test)

explainer = shap.TreeExplainer(best_model)

# Calculate SHAP values for test set
shap_values = explainer.shap_values(X_test)

# Force plot for a single prediction (e.g., the first instance in the test set)
shap.initjs()
shap.plots.force(explainer.expected_value[0], shap_values[:,:,0], X_test.columns)

# Force plot for a single prediction (e.g., the first instance in the test set)
shap.initjs()
shap.plots.decision(explainer.expected_value[0], shap_values[:,:,0], X_test)

from sklearn.svm import SVC
from sklearn.model_selection import GridSearchCV
from sklearn.metrics import roc_auc_score, accuracy_score, f1_score, precision_score, recall_score, confusion_matrix, make_scorer
import pandas as pd
import numpy as np

# Parameter grid for SVM
param_grid_svm = {
    'C': [0.1, 1, 10, 100],
    'kernel': ['linear', 'poly', 'rbf', 'sigmoid'],
    'gamma': ['scale', 'auto'],
    'random_state': [32, 100, 777, 2022, 8888]
}

# Custom scorer for specificity
def specificity_score(y_true, y_pred):
    tn, fp, fn, tp = confusion_matrix(y_true, y_pred).ravel()
    return tn / (tn + fp)

# Custom scorer for weighted specificity
def weighted_specificity_score(y_true, y_pred):
    cm = confusion_matrix(y_true, y_pred)
    tn = cm[0][0]
    fp = cm[0][1]
    fn = cm[1][0]
    tp = cm[1][1]
    specificity = tn / (tn + fp)
    return specificity

# Define scoring dictionary
scoring = {
    'AUC': 'roc_auc',
    'Accuracy': 'accuracy',
    'F1_weighted': make_scorer(f1_score, average='weighted'),
    'Sensitivity': make_scorer(recall_score, pos_label=1),
    'Specificity': make_scorer(specificity_score),
    'Precision': make_scorer(precision_score, pos_label=1, zero_division=0),
    'Recall': make_scorer(recall_score, pos_label=1),
    'Sensitivity_weighted': make_scorer(recall_score, average='weighted'),
    'Specificity_weighted': make_scorer(weighted_specificity_score),
    'Precision_weighted': make_scorer(precision_score, average='weighted', zero_division=0),
    'Recall_weighted': make_scorer(recall_score, average='weighted')
}

def calculate_confidence_interval(data):
    mean = np.mean(data)
    std_err = np.std(data) / np.sqrt(len(data))
    ci = 1.96 * std_err
    return mean, ci

def run_grid_search_svm(X, y):
    # Set up the Support Vector Classifier and GridSearchCV
    svc = SVC(probability=True)
    grid_search = GridSearchCV(estimator=svc, param_grid=param_grid_svm, scoring=scoring, cv=5, n_jobs=-1, return_train_score=True, refit='Accuracy')
    
    # Fit the grid search on the entire dataset
    grid_search.fit(X, y)
    
    # Access all the results
    results = pd.DataFrame(grid_search.cv_results_)
    
    # Sort the models by mean test accuracy score
    results = results.sort_values(by='mean_test_Accuracy', ascending=False)
    
    # Get top N models by mean test accuracy score
    top_models = results
    
    top_models_metrics = []
    
    for i, row in top_models.iterrows():
        params = {key: row['param_' + key] for key in param_grid_svm}
        
        # Collect mean metrics and confidence intervals from cross-validation results
        metrics = {
            'AUC': f"{round(row['mean_test_AUC'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_AUC'] for j in range(5)])[1], 4)}",
            'Accuracy': f"{round(row['mean_test_Accuracy'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Accuracy'] for j in range(5)])[1], 4)}",
            'F1_weighted': f"{round(row['mean_test_F1_weighted'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_F1_weighted'] for j in range(5)])[1], 4)}",
            'Sensitivity': f"{round(row['mean_test_Sensitivity'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Sensitivity'] for j in range(5)])[1], 4)}",
            'Specificity': f"{round(row['mean_test_Specificity'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Specificity'] for j in range(5)])[1], 4)}",
            'Precision': f"{round(row['mean_test_Precision'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Precision'] for j in range(5)])[1], 4)}",
            'Recall': f"{round(row['mean_test_Recall'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Recall'] for j in range(5)])[1], 4)}",
            'Sensitivity_weighted': f"{round(row['mean_test_Sensitivity_weighted'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Sensitivity_weighted'] for j in range(5)])[1], 4)}",
            'Specificity_weighted': f"{round(row['mean_test_Specificity_weighted'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Specificity_weighted'] for j in range(5)])[1], 4)}",
            'Precision_weighted': f"{round(row['mean_test_Precision_weighted'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Precision_weighted'] for j in range(5)])[1], 4)}",
            'Recall_weighted': f"{round(row['mean_test_Recall_weighted'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Recall_weighted'] for j in range(5)])[1], 4)}",
            'params': params,
        }
        
        top_models_metrics.append(metrics)
    
    return pd.DataFrame(top_models_metrics), grid_search.best_estimator_

all_metrics_dgf_svm, best_model_dgf_svm = run_grid_search_svm(X, y_dgf)

best_auc_test = all_metrics_dgf_svm.sort_values(by=['AUC'], ascending=False).reset_index(drop=True)

best_auc_test[best_auc_test['AUC'] > '0.703'].sort_values(by=['F1_weighted'], ascending=False).reset_index(drop=True)

all_metrics_dgf_svm.to_csv('all_metrics_svm_dgf_dialysis.csv', index=False)

best_auc_test = pd.read_csv('predict_dgf_result_svm.csv')

X_train, X_test, y_train, y_test = train_test_split(X, y_dgf, test_size=0.2, random_state=2022)

all_metrics_dgf_svm = all_metrics
best_model_dgf_svm = best_model

best_auc_test.loc[1]['params']

"{'C': 1.0, 'kernel': 'rbf', 'gamma': 'auto', 'random_state': 8888}"

best_model = SVC(**{'C': 1.0, 'kernel': 'rbf', 'gamma': 'auto', 'random_state': 8888}, probability=True)
best_model.fit(X_train, y_train)

SVC(gamma='auto', probability=True, random_state=8888)

SVC(gamma='auto', probability=True, random_state=8888)

explainer = shap.KernelExplainer(best_model.predict_proba, X_train)

Using 1485 background data samples could cause slower run times. Consider using shap.sample(data, K) or shap.kmeans(data, K) to summarize the background as K samples.

#shap_values = explainer.shap_values(X_test)
#shap.force_plot(explainer.expected_value[0], shap_values[..., 0], X_test)

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# Calculate SHAP values
shap_values = explainer(X_test)

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all_metrics_crr_svm, best_model_crr_svm = run_grid_search_svm(X, y_crr2_lt30)

/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/numpy/ma/core.py:2846: RuntimeWarning: invalid value encountered in cast
  _data = np.array(data, dtype=dtype, copy=copy,

best_auc_test = all_metrics_crr_svm.sort_values(by=['AUC'], ascending=False).reset_index(drop=True)

# Set the option to display the entire DataFrame
pd.set_option('display.max_rows', None)
pd.set_option('display.max_columns', None)
best_auc_test.head(10)

best_auc_test.to_csv('all_metrics_svm_dgf_creatinine.csv', index=False)

from sklearn.linear_model import LogisticRegression
from sklearn.model_selection import GridSearchCV
from sklearn.metrics import roc_auc_score, accuracy_score, f1_score, precision_score, recall_score, confusion_matrix, make_scorer
import pandas as pd
import numpy as np

# Parameter grid for Logistic Regression
param_grid_lr = {
    'C': [0.01, 0.1, 1, 10, 100],
    'solver': ['newton-cg', 'lbfgs', 'liblinear', 'sag', 'saga'],
    'max_iter': [100, 200, 300],
    'random_state': [32, 100, 777, 2022, 8888]
}

# Custom scorer for specificity
def specificity_score(y_true, y_pred):
    tn, fp, fn, tp = confusion_matrix(y_true, y_pred).ravel()
    return tn / (tn + fp)

# Custom scorer for weighted specificity
def weighted_specificity_score(y_true, y_pred):
    cm = confusion_matrix(y_true, y_pred)
    tn = cm[0][0]
    fp = cm[0][1]
    fn = cm[1][0]
    tp = cm[1][1]
    specificity = tn / (tn + fp)
    return specificity

# Define scoring dictionary
scoring = {
    'AUC': 'roc_auc',
    'Accuracy': 'accuracy',
    'F1_weighted': make_scorer(f1_score, average='weighted'),
    'Sensitivity': make_scorer(recall_score, pos_label=1),
    'Specificity': make_scorer(specificity_score),
    'Precision': make_scorer(precision_score, pos_label=1, zero_division=0),
    'Recall': make_scorer(recall_score, pos_label=1),
    'Sensitivity_weighted': make_scorer(recall_score, average='weighted'),
    'Specificity_weighted': make_scorer(weighted_specificity_score),
    'Precision_weighted': make_scorer(precision_score, average='weighted', zero_division=0),
    'Recall_weighted': make_scorer(recall_score, average='weighted')
}

def calculate_confidence_interval(data):
    mean = np.mean(data)
    std_err = np.std(data) / np.sqrt(len(data))
    ci = 1.96 * std_err
    return mean, ci

def run_grid_search_lr(X, y):
    # Set up the Logistic Regression and GridSearchCV
    lr = LogisticRegression()
    grid_search = GridSearchCV(estimator=lr, param_grid=param_grid_lr, scoring=scoring, cv=5, n_jobs=-1, return_train_score=True, refit='Accuracy')
    
    # Fit the grid search on the entire dataset
    grid_search.fit(X, y)
    
    # Access all the results
    results = pd.DataFrame(grid_search.cv_results_)
    
    # Sort the models by mean test accuracy score
    results = results.sort_values(by='mean_test_AUC', ascending=False)
    
    # Get top N models by mean test accuracy score
    top_models = results
    
    top_models_metrics = []
    
    for i, row in top_models.iterrows():
        params = {key: row['param_' + key] for key in param_grid_lr}
        
        # Collect mean metrics and confidence intervals from cross-validation results
        metrics = {
            'AUC': f"{round(row['mean_test_AUC'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_AUC'] for j in range(5)])[1], 4)}",
            'Accuracy': f"{round(row['mean_test_Accuracy'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Accuracy'] for j in range(5)])[1], 4)}",
            'F1_weighted': f"{round(row['mean_test_F1_weighted'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_F1_weighted'] for j in range(5)])[1], 4)}",
            'Sensitivity': f"{round(row['mean_test_Sensitivity'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Sensitivity'] for j in range(5)])[1], 4)}",
            'Specificity': f"{round(row['mean_test_Specificity'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Specificity'] for j in range(5)])[1], 4)}",
            'Precision': f"{round(row['mean_test_Precision'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Precision'] for j in range(5)])[1], 4)}",
            'Recall': f"{round(row['mean_test_Recall'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Recall'] for j in range(5)])[1], 4)}",
            'Sensitivity_weighted': f"{round(row['mean_test_Sensitivity_weighted'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Sensitivity_weighted'] for j in range(5)])[1], 4)}",
            'Specificity_weighted': f"{round(row['mean_test_Specificity_weighted'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Specificity_weighted'] for j in range(5)])[1], 4)}",
            'Precision_weighted': f"{round(row['mean_test_Precision_weighted'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Precision_weighted'] for j in range(5)])[1], 4)}",
            'Recall_weighted': f"{round(row['mean_test_Recall_weighted'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Recall_weighted'] for j in range(5)])[1], 4)}",
            'params': params,
        }
        
        top_models_metrics.append(metrics)
    
    return pd.DataFrame(top_models_metrics), grid_search.best_estimator_

# from sklearn.metrics import f1_score

# # Example data for binary classification
# y_true = [0, 1, 1, 0, 1, 0, 1, 0, 1, 0]
# y_pred = [0, 1, 0, 0, 1, 0, 1, 1, 0, 0]

# # Calculate F1 score for each class separately
# f1_per_class = f1_score(y_true, y_pred, average=None)

# # Calculate micro-average F1 score
# f1_micro = f1_score(y_true, y_pred, average='micro')

# # Calculate macro-average F1 score
# f1_macro = f1_score(y_true, y_pred, average='macro')

# # Calculate weighted-average F1 score
# f1_weighted = f1_score(y_true, y_pred, average='weighted')

# print("F1 score for each class:", f1_per_class)
# print("Micro-average F1 score:", f1_micro)
# print("Macro-average F1 score:", f1_macro)
# print("Weighted-average F1 score:", f1_weighted)

f1_score(y_true, y_pred, )

np.float64(0.6666666666666666)

all_metrics, best_model = run_grid_search_lr(X, y_dgf)

best_model

LogisticRegression(C=100, random_state=32, solver='newton-cg')

LogisticRegression(C=100, random_state=32, solver='newton-cg')

best_auc_test = all_metrics

# Set the option to display the entire DataFrame
pd.set_option('display.max_rows', None)
pd.set_option('display.max_columns', None)
best_auc_test.head(10)

# Set the option to display the entire DataFrame
pd.set_option('display.max_rows', None)
pd.set_option('display.max_columns', None)
best_auc_test.head(10)

# Set the option to display the entire DataFrame
pd.set_option('display.max_rows', None)
pd.set_option('display.max_columns', None)
best_auc_test.head(10)

# Set the option to display the entire DataFrame
pd.set_option('display.max_rows', None)
pd.set_option('display.max_columns', None)
best_auc_test.head(10)

best_auc_test.loc[0]['params']

{'C': 0.1, 'solver': 'lbfgs', 'max_iter': 200, 'random_state': 100}

best_auc_test.loc[1]['params']

{'C': 0.1, 'solver': 'lbfgs', 'max_iter': 20000, 'random_state': 32}

best_model = LogisticRegression(**best_auc_test.loc[1]['params'])
best_model.fit(X_train, y_train)

LogisticRegression(C=0.1, max_iter=20000, random_state=42, solver='newton-cg')

LogisticRegression(C=0.1, max_iter=20000, random_state=42, solver='newton-cg')

best_auc_test.to_csv('all_metrics_lr_dgf_dialysis.csv', index=False)

# # explain all the predictions in the test set
# explainer = shap.KernelExplainer(best_model.predict_proba, X_train)
# shap_values = explainer.shap_values(X_test)

y = y_crr2_lt30

    # # Define the scoring dictionary
    # scoring = {
    #     'roc_auc': 'roc_auc',
    #     'accuracy': make_scorer(accuracy_score),
    #     'f1_class1': make_scorer(f1_score, pos_label=1),
    #     'f1_class0': make_scorer(f1_score, pos_label=0)
    # }

    # # Set up the Logistic Regression and GridSearchCV
    # lr = LogisticRegression()
    # grid_search = GridSearchCV(estimator=lr, param_grid=param_grid_lr, scoring=scoring, refit='roc_auc', cv=5, n_jobs=-1, return_train_score=True)
    
    # # Splitting the data
    # X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=2022)
    # grid_search.fit(X_train, y_train)
    
    # # Access all the results
    # results = pd.DataFrame(grid_search.cv_results_)
    
    # # Sort the models by test AUC score
    # results = results.sort_values(by='mean_test_roc_auc', ascending=False)
    
    # # Get top N models by AUC score
    # top_models = results
    
    # top_models_metrics = []
    
    # for i, row in top_models.iterrows():
    #     params = {key: row['param_' + key] for key in param_grid_lr}
        
    #     # Re-train the model with the top parameters
    #     model = LogisticRegression(**params)
    #     model.fit(X_train, y_train)
        
    #     # Predictions
    #     y_train_pred = model.predict(X_train)
    #     y_test_pred = model.predict(X_test)
        
    #     # Metrics calculation using the mean of the 5-fold CV results for training set
    #     metrics = {
    #         'AUC_train': round(row['mean_train_roc_auc'], 4),
    #         'AUC_test': round(roc_auc_score(y_test, model.predict_proba(X_test)[:, 1]), 4),
    #         'Accuracy_train': round(row['mean_train_accuracy'], 4),
    #         'Accuracy_test': round(accuracy_score(y_test, y_test_pred), 4),
    #         'F1_Class1_train': round(row['mean_train_f1_class1'], 4),
    #         'F1_Class1_test': round(f1_score(y_test, y_test_pred, pos_label=1), 4),
    #         'F1_Class0_train': round(row['mean_train_f1_class0'], 4),
    #         'F1_Class0_test': round(f1_score(y_test, y_test_pred, pos_label=0), 4),
    #         'params': params,
    #     }
        
    #     top_models_metrics.append(metrics)

#results.head()

all_metrics_crr_lr, best_model_crr_lr = run_grid_search_lr(X, y_crr2_lt30)

best_auc_test = all_metrics_crr_lr

# Set the option to display the entire DataFrame
pd.set_option('display.max_rows', None)
pd.set_option('display.max_columns', None)
best_auc_test.sort_values(by=['AUC']).head()

y_crr2_lt30.value_counts()

crr2_lt30
1.0    1025
0.0     832
Name: count, dtype: int64

y_dgf.value_counts()

dgf
0    1204
1     653
Name: count, dtype: int64

best_model = LogisticRegression(**best_auc_test.loc[1]['params'])
best_model.fit(X_train, y_train)

LogisticRegression(C=0.1, max_iter=100000, random_state=45, solver='liblinear')

LogisticRegression(C=0.1, max_iter=100000, random_state=45, solver='liblinear')

best_auc_test.to_csv('all_metrics_lr_dgf_creatinine.csv', index=False)

from xgboost import XGBClassifier
from sklearn.model_selection import GridSearchCV
from sklearn.metrics import roc_auc_score, accuracy_score, f1_score, precision_score, recall_score, confusion_matrix, make_scorer
import pandas as pd
import numpy as np

# Parameter grid for XGBoost
param_grid_xgb = {
    'learning_rate': [0.01, 0.1, 0.2, 0.3],
    'n_estimators': [50, 100, 150, 200],
    'max_depth': [3, 4, 5, 6],
    'random_state': [32, 100, 777, 2022, 8888]
}

# Custom scorer for specificity
def specificity_score(y_true, y_pred):
    tn, fp, fn, tp = confusion_matrix(y_true, y_pred).ravel()
    return tn / (tn + fp)

# Custom scorer for weighted specificity
def weighted_specificity_score(y_true, y_pred):
    cm = confusion_matrix(y_true, y_pred)
    tn = cm[0][0]
    fp = cm[0][1]
    fn = cm[1][0]
    tp = cm[1][1]
    specificity = tn / (tn + fp)
    return specificity

# Define scoring dictionary
scoring = {
    'AUC': 'roc_auc',
    'Accuracy': 'accuracy',
    'F1_weighted': make_scorer(f1_score, average='weighted'),
    'Sensitivity': make_scorer(recall_score, pos_label=1),
    'Specificity': make_scorer(specificity_score),
    'Precision': make_scorer(precision_score, pos_label=1, zero_division=0),
    'Recall': make_scorer(recall_score, pos_label=1),
    'Sensitivity_weighted': make_scorer(recall_score, average='weighted'),
    'Specificity_weighted': make_scorer(weighted_specificity_score),
    'Precision_weighted': make_scorer(precision_score, average='weighted', zero_division=0),
    'Recall_weighted': make_scorer(recall_score, average='weighted')
}

def calculate_confidence_interval(data):
    mean = np.mean(data)
    std_err = np.std(data) / np.sqrt(len(data))
    ci = 1.96 * std_err
    return mean, ci

def run_grid_search_gbc(X, y):
    # Set up the XGBoost Classifier and GridSearchCV
    xgb = XGBClassifier()
    grid_search = GridSearchCV(estimator=xgb, param_grid=param_grid_xgb, scoring=scoring, cv=5, n_jobs=-1, return_train_score=True, refit='Accuracy')
    
    # Fit the grid search on the entire dataset
    grid_search.fit(X, y)
    
    # Access all the results
    results = pd.DataFrame(grid_search.cv_results_)
    
    # Sort the models by mean test accuracy score
    results = results.sort_values(by='mean_test_AUC', ascending=False)
    
    # Get top N models by mean test accuracy score
    top_models = results
    
    top_models_metrics = []
    
    for i, row in top_models.iterrows():
        params = {key: row['param_' + key] for key in param_grid_xgb}
        
        # Collect mean metrics and confidence intervals from cross-validation results
        metrics = {
            'AUC': f"{round(row['mean_test_AUC'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_AUC'] for j in range(5)])[1], 4)}",
            'Accuracy': f"{round(row['mean_test_Accuracy'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Accuracy'] for j in range(5)])[1], 4)}",
            'F1_weighted': f"{round(row['mean_test_F1_weighted'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_F1_weighted'] for j in range(5)])[1], 4)}",
            'Sensitivity': f"{round(row['mean_test_Sensitivity'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Sensitivity'] for j in range(5)])[1], 4)}",
            'Specificity': f"{round(row['mean_test_Specificity'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Specificity'] for j in range(5)])[1], 4)}",
            'Precision': f"{round(row['mean_test_Precision'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Precision'] for j in range(5)])[1], 4)}",
            'Recall': f"{round(row['mean_test_Recall'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Recall'] for j in range(5)])[1], 4)}",
            'Sensitivity_weighted': f"{round(row['mean_test_Sensitivity_weighted'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Sensitivity_weighted'] for j in range(5)])[1], 4)}",
            'Specificity_weighted': f"{round(row['mean_test_Specificity_weighted'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Specificity_weighted'] for j in range(5)])[1], 4)}",
            'Precision_weighted': f"{round(row['mean_test_Precision_weighted'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Precision_weighted'] for j in range(5)])[1], 4)}",
            'Recall_weighted': f"{round(row['mean_test_Recall_weighted'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Recall_weighted'] for j in range(5)])[1], 4)}",
            'params': params,
        }
        
        top_models_metrics.append(metrics)
    
    return pd.DataFrame(top_models_metrics), grid_search.best_estimator_

from sklearn.ensemble import GradientBoostingClassifier
from sklearn.model_selection import GridSearchCV
from sklearn.metrics import roc_auc_score, accuracy_score, f1_score, precision_score, recall_score, confusion_matrix, make_scorer
import pandas as pd
import numpy as np

# Parameter grid for Gradient Boosting Classifier
param_grid_gbc = {
    'learning_rate': [0.01, 0.1, 0.2, 0.3],
    'n_estimators': [50, 100, 150, 200],
    'max_depth': [3, 4, 5, 6],
    'random_state': [32, 100, 777, 2022, 8888]
}

# Custom scorer for specificity
def specificity_score(y_true, y_pred):
    tn, fp, fn, tp = confusion_matrix(y_true, y_pred).ravel()
    return tn / (tn + fp)

# Custom scorer for weighted specificity
def weighted_specificity_score(y_true, y_pred):
    cm = confusion_matrix(y_true, y_pred)
    tn = cm[0][0]
    fp = cm[0][1]
    fn = cm[1][0]
    tp = cm[1][1]
    specificity = tn / (tn + fp)
    return specificity

# Define scoring dictionary
scoring = {
    'AUC': 'roc_auc',
    'Accuracy': 'accuracy',
    'F1_weighted': make_scorer(f1_score, average='weighted'),
    'Sensitivity': make_scorer(recall_score, pos_label=1),
    'Specificity': make_scorer(specificity_score),
    'Precision': make_scorer(precision_score, pos_label=1, zero_division=0),
    'Recall': make_scorer(recall_score, pos_label=1),
    'Sensitivity_weighted': make_scorer(recall_score, average='weighted'),
    'Specificity_weighted': make_scorer(weighted_specificity_score),
    'Precision_weighted': make_scorer(precision_score, average='weighted', zero_division=0),
    'Recall_weighted': make_scorer(recall_score, average='weighted')
}

def calculate_confidence_interval(data):
    mean = np.mean(data)
    std_err = np.std(data) / np.sqrt(len(data))
    ci = 1.96 * std_err
    return mean, ci

def run_grid_search_gbc_sklearn(X, y):
    # Set up the Gradient Boosting Classifier and GridSearchCV
    gbc = GradientBoostingClassifier()
    grid_search = GridSearchCV(estimator=gbc, param_grid=param_grid_gbc, scoring=scoring, cv=5, n_jobs=-1, return_train_score=True, refit='Accuracy')
    
    # Fit the grid search on the entire dataset
    grid_search.fit(X, y)
    
    # Access all the results
    results = pd.DataFrame(grid_search.cv_results_)
    
    # Sort the models by mean test accuracy score
    results = results.sort_values(by='mean_test_Accuracy', ascending=False)
    
    # Get top N models by mean test accuracy score
    top_models = results
    
    top_models_metrics = []
    
    for i, row in top_models.iterrows():
        params = {key: row['param_' + key] for key in param_grid_gbc}
        
        # Collect mean metrics and confidence intervals from cross-validation results
        metrics = {
            'AUC': f"{round(row['mean_test_AUC'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_AUC'] for j in range(5)])[1], 4)}",
            'Accuracy': f"{round(row['mean_test_Accuracy'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Accuracy'] for j in range(5)])[1], 4)}",
            'F1_weighted': f"{round(row['mean_test_F1_weighted'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_F1_weighted'] for j in range(5)])[1], 4)}",
            'Sensitivity': f"{round(row['mean_test_Sensitivity'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Sensitivity'] for j in range(5)])[1], 4)}",
            'Specificity': f"{round(row['mean_test_Specificity'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Specificity'] for j in range(5)])[1], 4)}",
            'Precision': f"{round(row['mean_test_Precision'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Precision'] for j in range(5)])[1], 4)}",
            'Recall': f"{round(row['mean_test_Recall'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Recall'] for j in range(5)])[1], 4)}",
            'Sensitivity_weighted': f"{round(row['mean_test_Sensitivity_weighted'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Sensitivity_weighted'] for j in range(5)])[1], 4)}",
            'Specificity_weighted': f"{round(row['mean_test_Specificity_weighted'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Specificity_weighted'] for j in range(5)])[1], 4)}",
            'Precision_weighted': f"{round(row['mean_test_Precision_weighted'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Precision_weighted'] for j in range(5)])[1], 4)}",
            'Recall_weighted': f"{round(row['mean_test_Recall_weighted'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Recall_weighted'] for j in range(5)])[1], 4)}",
            'params': params,
        }
        
        top_models_metrics.append(metrics)
    
    return pd.DataFrame(top_models_metrics), grid_search.best_estimator_

from sklearn.ensemble import GradientBoostingClassifier
from sklearn.model_selection import GridSearchCV, LeaveOneOut
from sklearn.metrics import roc_auc_score, accuracy_score, f1_score, precision_score, recall_score, confusion_matrix, make_scorer
import pandas as pd
import numpy as np

# Parameter grid for Gradient Boosting Classifier
param_grid_gbc = {
    'learning_rate': [0.01, 0.1, 0.2, 0.3],
    'n_estimators': [50, 100, 150, 200],
    'max_depth': [3, 4, 5, 6],
    'random_state': [32, 100, 777, 2022, 8888]
}

# Custom scorer for specificity
def specificity_score(y_true, y_pred):
    tn, fp, fn, tp = confusion_matrix(y_true, y_pred).ravel()
    return tn / (tn + fp)

# Custom scorer for weighted specificity
def weighted_specificity_score(y_true, y_pred):
    cm = confusion_matrix(y_true, y_pred)
    tn = cm[0][0]
    fp = cm[0][1]
    fn = cm[1][0]
    tp = cm[1][1]
    specificity = tn / (tn + fp)
    return specificity

# Define scoring dictionary
scoring = {
    'AUC': 'roc_auc',
    'Accuracy': 'accuracy',
    'F1_weighted': make_scorer(f1_score, average='weighted'),
    'Sensitivity': make_scorer(recall_score, pos_label=1),
    'Specificity': make_scorer(specificity_score),
    'Precision': make_scorer(precision_score, pos_label=1, zero_division=0),
    'Recall': make_scorer(recall_score, pos_label=1),
    'Sensitivity_weighted': make_scorer(recall_score, average='weighted'),
    'Specificity_weighted': make_scorer(weighted_specificity_score),
    'Precision_weighted': make_scorer(precision_score, average='weighted', zero_division=0),
    'Recall_weighted': make_scorer(recall_score, average='weighted')
}

def calculate_confidence_interval(data):
    mean = np.mean(data)
    std_err = np.std(data) / np.sqrt(len(data))
    ci = 1.96 * std_err
    return mean, ci

def run_grid_search_gbc_loo(X, y):
    # Set up the Gradient Boosting Classifier and GridSearchCV
    gbc = GradientBoostingClassifier()
    loo = LeaveOneOut()
    grid_search = GridSearchCV(estimator=gbc, param_grid=param_grid_gbc, scoring=scoring, cv=loo, n_jobs=-1, return_train_score=True, refit='Accuracy')
    
    # Fit the grid search on the entire dataset
    grid_search.fit(X, y)
    
    # Access all the results
    results = pd.DataFrame(grid_search.cv_results_)
    
    # Sort the models by mean test accuracy score
    results = results.sort_values(by='mean_test_Accuracy', ascending=False)
    
    # Get top N models by mean test accuracy score
    top_models = results
    
    top_models_metrics = []
    
    for i, row in top_models.iterrows():
        params = {key: row['param_' + key] for key in param_grid_gbc}
        
        # Collect mean metrics and confidence intervals from cross-validation results
        metrics = {
            'AUC': f"{round(row['mean_test_AUC'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_AUC'] for j in range(len(X))])[1], 4)}",
            'Accuracy': f"{round(row['mean_test_Accuracy'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Accuracy'] for j in range(len(X))])[1], 4)}",
            'F1_weighted': f"{round(row['mean_test_F1_weighted'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_F1_weighted'] for j in range(len(X))])[1], 4)}",
            'Sensitivity': f"{round(row['mean_test_Sensitivity'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Sensitivity'] for j in range(len(X))])[1], 4)}",
            'Specificity': f"{round(row['mean_test_Specificity'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Specificity'] for j in range(len(X))])[1], 4)}",
            'Precision': f"{round(row['mean_test_Precision'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Precision'] for j in range(len(X))])[1], 4)}",
            'Recall': f"{round(row['mean_test_Recall'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Recall'] for j in range(len(X))])[1], 4)}",
            'Sensitivity_weighted': f"{round(row['mean_test_Sensitivity_weighted'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Sensitivity_weighted'] for j in range(len(X))])[1], 4)}",
            'Specificity_weighted': f"{round(row['mean_test_Specificity_weighted'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Specificity_weighted'] for j in range(len(X))])[1], 4)}",
            'Precision_weighted': f"{round(row['mean_test_Precision_weighted'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Precision_weighted'] for j in range(len(X))])[1], 4)}",
            'Recall_weighted': f"{round(row['mean_test_Recall_weighted'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Recall_weighted'] for j in range(len(X))])[1], 4)}",
            'params': params,
        }
        
        top_models_metrics.append(metrics)
    
    return pd.DataFrame(top_models_metrics), grid_search.best_estimator_

# X_train, X_test, y_train, y_test = train_test_split(X, y_dgf, test_size=0.2, random_state=42)

all_metrics_gbc_dgf, best_model_gbc_dgf = run_grid_search_gbc(X, y_dgf)

all_metrics_gbc_dgf_sklearn, best_model_gbc_dgf_sklearn = run_grid_search_gbc_sklearn(X, y_dgf)

all_metrics_gbc_dgf_loo, best_model_gbc_dgf_loo = run_grid_search_gbc_loo(X, y_dgf)

/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/tmp/ipykernel_380452/3317851577.py:18: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/tmp/ipykernel_380452/3317851577.py:27: RuntimeWarning: invalid value encountered in scalar divide
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 213, in wrapper
    return func(*args, **kwargs)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 640, in roc_auc_score
    return _average_binary_score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_base.py", line 76, in _average_binary_score
    return binary_metric(y_true, y_score, sample_weight=sample_weight)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_ranking.py", line 382, in _binary_roc_auc_score
    raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 17, in specificity_score
ValueError: not enough values to unpack (expected 4, got 1)

  warnings.warn(
/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:1000: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 139, in __call__
    score = scorer._score(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 376, in _score
    return self._sign * self._score_func(y_true, y_pred, **scoring_kwargs)
  File "/tmp/ipykernel_380452/3317851577.py", line 24, in weighted_specificity_score
IndexError: index 1 is out of bounds for axis 0 with size 1

  warnings.warn(

# y_test.value_counts()

dgf
0    245
1    127
Name: count, dtype: int64

all_metrics_gbc_dgf_sklearn.to_csv('all_metrics_xgb_dgf_dialysis_sklearn.csv', index=False)

# all_metrics = pd.read_csv('predict_dgf_result_gradient_boosting_classifier.csv')

best_auc_test = all_metrics_gbc_dgf_sklearn.sort_values(by=['AUC'], ascending=False).reset_index(drop=True)

best_auc_test[best_auc_test['AUC'] > '0.7'].sort_values(by=['F1_weighted'], ascending=False).reset_index(drop=True)

best_model = GradientBoostingClassifier(**{'learning_rate': 0.01, 'n_estimators': 200, 'max_depth': 4, 'random_state': 32})
best_model.fit(X_train, y_train)

GradientBoostingClassifier(learning_rate=0.01, max_depth=4, n_estimators=200,
                           random_state=32)

GradientBoostingClassifier(learning_rate=0.01, max_depth=4, n_estimators=200,
                           random_state=32)

best_auc_test.loc[0]['params']

"{'learning_rate': 0.01, 'n_estimators': 200, 'max_depth': 4, 'random_state': 32}"

# Create SHAP explainer
explainer = shap.TreeExplainer(best_model)

# Calculate SHAP values
shap_values = explainer(X_test)
shap.plots.bar(shap_values)

# Create SHAP explainer
explainer = shap.TreeExplainer(best_model)

# Calculate SHAP values
shap_values = explainer(X_test)
shap.plots.waterfall(shap_values[11])

# Create SHAP explainer
explainer = shap.TreeExplainer(best_model)

# Calculate SHAP values
shap_values = explainer(X_test)
# Create SHAP explainer
explainer = shap.TreeExplainer(best_model)
expected_value = explainer.expected_value

shap.force_plot(
    expected_value,
    shap_values.values[0],
    X_test.iloc[0],
    link="logit",
    matplotlib=True,
)

# Create SHAP explainer
explainer = shap.TreeExplainer(best_model)

# Calculate SHAP values
shap_values = explainer(X_test)
shap.plots.bar(shap_values[11])

# Create SHAP explainer
explainer = shap.TreeExplainer(best_model, X_train)
shap_values = explainer(X_train)

# Summary force plot
shap.summary_plot(shap_values, X_train)

# best_auc_test.to_csv('predict_dgf_result_gradient_boosting_classifier.csv', index=False)

#X_train, X_test, y_train, y_test = train_test_split(X, y_dgf, test_size=0.2)
X_train, X_test, y_train, y_test = train_test_split(X, y_crr2_lt30 , test_size=0.2)

best_model = RandomForestClassifier()
best_model.fit(X_train, y_train)

RandomForestClassifier()

RandomForestClassifier()

import matplotlib.pyplot as plt
from sklearn.metrics import confusion_matrix, ConfusionMatrixDisplay, roc_curve, auc
from sklearn.ensemble import GradientBoostingClassifier

# Predictions
y_pred = best_model.predict(X_test)

# Check if the model supports predict_proba
if hasattr(best_model, "predict_proba"):
    y_pred_proba = best_model.predict_proba(X_test)[:, 1]
else:
    # If predict_proba is not available, use decision_function and scale it to [0, 1]
    y_pred_proba = best_model.decision_function(X_test)
    y_pred_proba = (y_pred_proba - y_pred_proba.min()) / (y_pred_proba.max() - y_pred_proba.min())

# Map labels
label_mapping = {0: 'Non DGF', 1: 'DGF'}
y_test_mapped = [label_mapping[label] for label in y_test]
y_pred_mapped = [label_mapping[label] for label in y_pred]

# Plot confusion matrix
cm = confusion_matrix(y_test_mapped, y_pred_mapped, labels=['DGF', 'Non DGF'])
disp = ConfusionMatrixDisplay(confusion_matrix=cm, display_labels=['DGF', 'Non DGF'])

# Plot ROC AUC
fpr, tpr, _ = roc_curve(y_test, y_pred_proba)
roc_auc = auc(fpr, tpr)

# Create a figure with two subplots side by side
fig, ax = plt.subplots(1, 2, figsize=(12, 6))

# Plot confusion matrix on the first subplot
disp.plot(cmap=plt.cm.Blues, ax=ax[0])
ax[0].set_title('Confusion Matrix')

# Plot ROC curve on the second subplot
ax[1].plot(fpr, tpr, color='darkorange', lw=2, label='ROC curve (area = %0.4f)' % roc_auc)
ax[1].plot([0, 1], [0, 1], color='navy', lw=2, linestyle='--')
ax[1].set_xlim([0.0, 1.0])
ax[1].set_ylim([0.0, 1.05])
ax[1].set_xlabel('False Positive Rate')
ax[1].set_ylabel('True Positive Rate')
ax[1].set_title('Receiver Operating Characteristic (ROC) Curve')
ax[1].legend(loc="lower right")

# Set the main title for the figure
fig.suptitle('DGF Creatinine ROC and Confusion Matrix for Random Forest')

# Show the plot
plt.show()

import matplotlib.pyplot as plt
from sklearn.metrics import confusion_matrix, ConfusionMatrixDisplay, roc_curve, auc
from sklearn.ensemble import GradientBoostingClassifier

# Predictions
y_pred = best_model.predict(X_test)

# Check if the model supports predict_proba
if hasattr(best_model, "predict_proba"):
    y_pred_proba = best_model.predict_proba(X_test)[:, 1]
else:
    # If predict_proba is not available, use decision_function and scale it to [0, 1]
    y_pred_proba = best_model.decision_function(X_test)
    y_pred_proba = (y_pred_proba - y_pred_proba.min()) / (y_pred_proba.max() - y_pred_proba.min())

# Map labels
label_mapping = {0: 'Non DGF', 1: 'DGF'}
y_test_mapped = [label_mapping[label] for label in y_test]
y_pred_mapped = [label_mapping[label] for label in y_pred]

# Plot confusion matrix
cm = confusion_matrix(y_test_mapped, y_pred_mapped, labels=['DGF', 'Non DGF'])
disp = ConfusionMatrixDisplay(confusion_matrix=cm, display_labels=['DGF', 'Non DGF'])

# Plot ROC AUC
fpr, tpr, _ = roc_curve(y_test, y_pred_proba)
roc_auc = auc(fpr, tpr)

# Create a figure with two subplots side by side
fig, ax = plt.subplots(1, 2, figsize=(12, 6))

# Plot confusion matrix on the first subplot
disp.plot(cmap=plt.cm.Blues, ax=ax[0])
ax[0].set_title('Confusion Matrix')

# Plot ROC curve on the second subplot
ax[1].plot(fpr, tpr, color='darkorange', lw=2, label='ROC curve (area = 0.6275)' % roc_auc)
ax[1].plot([0, 1], [0, 1], color='navy', lw=2, linestyle='--')
ax[1].set_xlim([0.0, 1.0])
ax[1].set_ylim([0.0, 1.05])
ax[1].set_xlabel('False Positive Rate')
ax[1].set_ylabel('True Positive Rate')
ax[1].set_title('Receiver Operating Characteristic (ROC) Curve')
ax[1].legend(loc="lower right")

# Set the main title for the figure
fig.suptitle('DGF Creatinine ROC and Confusion Matrix for Gradient Boosting Tree')

# Show the plot
plt.show()

import matplotlib.pyplot as plt
from sklearn.metrics import confusion_matrix, ConfusionMatrixDisplay, roc_curve, auc
from sklearn.ensemble import GradientBoostingClassifier

# Predictions
y_pred = best_model.predict(X_test)

# Check if the model supports predict_proba
if hasattr(best_model, "predict_proba"):
    y_pred_proba = best_model.predict_proba(X_test)[:, 1]
else:
    # If predict_proba is not available, use decision_function and scale it to [0, 1]
    y_pred_proba = best_model.decision_function(X_test)
    y_pred_proba = (y_pred_proba - y_pred_proba.min()) / (y_pred_proba.max() - y_pred_proba.min())

# Map labels
label_mapping = {0: 'Non DGF', 1: 'DGF'}
y_test_mapped = [label_mapping[label] for label in y_test]
y_pred_mapped = [label_mapping[label] for label in y_pred]

# Plot confusion matrix
cm = confusion_matrix(y_test_mapped, y_pred_mapped, labels=['DGF', 'Non DGF'])
disp = ConfusionMatrixDisplay(confusion_matrix=cm, display_labels=['DGF', 'Non DGF'])

# Plot ROC AUC
fpr, tpr, _ = roc_curve(y_test, y_pred_proba)
roc_auc = auc(fpr, tpr)

# Create a figure with two subplots side by side
fig, ax = plt.subplots(1, 2, figsize=(12, 6))

# Plot confusion matrix on the first subplot
disp.plot(cmap=plt.cm.Blues, ax=ax[0])
ax[0].set_title('Confusion Matrix')

# Plot ROC curve on the second subplot
ax[1].plot(fpr, tpr, color='darkorange', lw=2, label='ROC curve (area = 0.6363)' % roc_auc)
ax[1].plot([0, 1], [0, 1], color='navy', lw=2, linestyle='--')
ax[1].set_xlim([0.0, 1.0])
ax[1].set_ylim([0.0, 1.05])
ax[1].set_xlabel('False Positive Rate')
ax[1].set_ylabel('True Positive Rate')
ax[1].set_title('Receiver Operating Characteristic (ROC) Curve')
ax[1].legend(loc="lower right")

# Set the main title for the figure
fig.suptitle('DGF Creatinine ROC and Confusion Matrix for Logistic Regression')

# Show the plot
plt.show()

import matplotlib.pyplot as plt
from sklearn.metrics import confusion_matrix, ConfusionMatrixDisplay, roc_curve, auc
from sklearn.ensemble import GradientBoostingClassifier

# Predictions
y_pred = best_model.predict(X_test)

# Check if the model supports predict_proba
if hasattr(best_model, "predict_proba"):
    y_pred_proba = best_model.predict_proba(X_test)[:, 1]
else:
    # If predict_proba is not available, use decision_function and scale it to [0, 1]
    y_pred_proba = best_model.decision_function(X_test)
    y_pred_proba = (y_pred_proba - y_pred_proba.min()) / (y_pred_proba.max() - y_pred_proba.min())

# Map labels
label_mapping = {0: 'Non DGF', 1: 'DGF'}
y_test_mapped = [label_mapping[label] for label in y_test]
y_pred_mapped = [label_mapping[label] for label in y_pred]

# Plot confusion matrix
cm = confusion_matrix(y_test_mapped, y_pred_mapped, labels=['DGF', 'Non DGF'])
disp = ConfusionMatrixDisplay(confusion_matrix=cm, display_labels=['DGF', 'Non DGF'])

# Plot ROC AUC
fpr, tpr, _ = roc_curve(y_test, y_pred_proba)
roc_auc = auc(fpr, tpr)

# Create a figure with two subplots side by side
fig, ax = plt.subplots(1, 2, figsize=(12, 6))

# Plot confusion matrix on the first subplot
disp.plot(cmap=plt.cm.Blues, ax=ax[0])
ax[0].set_title('Confusion Matrix')

# Plot ROC curve on the second subplot
ax[1].plot(fpr, tpr, color='darkorange', lw=2, label='ROC curve (area = 0.6404)' % roc_auc)
ax[1].plot([0, 1], [0, 1], color='navy', lw=2, linestyle='--')
ax[1].set_xlim([0.0, 1.0])
ax[1].set_ylim([0.0, 1.05])
ax[1].set_xlabel('False Positive Rate')
ax[1].set_ylabel('True Positive Rate')
ax[1].set_title('Receiver Operating Characteristic (ROC) Curve')
ax[1].legend(loc="lower right")

# Set the main title for the figure
fig.suptitle('DGF Creatinine ROC and Confusion Matrix for Random Forest')

# Show the plot
plt.show()

import matplotlib.pyplot as plt
from sklearn.metrics import confusion_matrix, ConfusionMatrixDisplay, roc_curve, auc
from sklearn.ensemble import GradientBoostingClassifier

# Predictions
y_pred = best_model.predict(X_test)

# Check if the model supports predict_proba
if hasattr(best_model, "predict_proba"):
    y_pred_proba = best_model.predict_proba(X_test)[:, 1]
else:
    # If predict_proba is not available, use decision_function and scale it to [0, 1]
    y_pred_proba = best_model.decision_function(X_test)
    y_pred_proba = (y_pred_proba - y_pred_proba.min()) / (y_pred_proba.max() - y_pred_proba.min())

# Map labels
label_mapping = {0: 'Non DGF', 1: 'DGF'}
y_test_mapped = [label_mapping[label] for label in y_test]
y_pred_mapped = [label_mapping[label] for label in y_pred]

# Plot confusion matrix
cm = confusion_matrix(y_test_mapped, y_pred_mapped, labels=['DGF', 'Non DGF'])
disp = ConfusionMatrixDisplay(confusion_matrix=cm, display_labels=['DGF', 'Non DGF'])

# Plot ROC AUC
fpr, tpr, _ = roc_curve(y_test, y_pred_proba)
roc_auc = auc(fpr, tpr)

# Create a figure with two subplots side by side
fig, ax = plt.subplots(1, 2, figsize=(12, 6))

# Plot confusion matrix on the first subplot
disp.plot(cmap=plt.cm.Blues, ax=ax[0])
ax[0].set_title('Confusion Matrix')

# Plot ROC curve on the second subplot
ax[1].plot(fpr, tpr, color='darkorange', lw=2, label='ROC curve (area = %0.4f)' % roc_auc)
ax[1].plot([0, 1], [0, 1], color='navy', lw=2, linestyle='--')
ax[1].set_xlim([0.0, 1.0])
ax[1].set_ylim([0.0, 1.05])
ax[1].set_xlabel('False Positive Rate')
ax[1].set_ylabel('True Positive Rate')
ax[1].set_title('Receiver Operating Characteristic (ROC) Curve')
ax[1].legend(loc="lower right")

# Set the main title for the figure
fig.suptitle('DGF Dialysis ROC and Confusion Matrix for Random Forest')

# Show the plot
plt.show()

import matplotlib.pyplot as plt
from sklearn.metrics import confusion_matrix, ConfusionMatrixDisplay, roc_curve, auc
from sklearn.ensemble import GradientBoostingClassifier

# Predictions
y_pred = best_model.predict(X_test)

# Check if the model supports predict_proba
if hasattr(best_model, "predict_proba"):
    y_pred_proba = best_model.predict_proba(X_test)[:, 1]
else:
    # If predict_proba is not available, use decision_function and scale it to [0, 1]
    y_pred_proba = best_model.decision_function(X_test)
    y_pred_proba = (y_pred_proba - y_pred_proba.min()) / (y_pred_proba.max() - y_pred_proba.min())

# Map labels
label_mapping = {0: 'Non DGF', 1: 'DGF'}
y_test_mapped = [label_mapping[label] for label in y_test]
y_pred_mapped = [label_mapping[label] for label in y_pred]

# Plot confusion matrix
cm = confusion_matrix(y_test_mapped, y_pred_mapped, labels=['DGF', 'Non DGF'])
disp = ConfusionMatrixDisplay(confusion_matrix=cm, display_labels=['DGF', 'Non DGF'])

# Plot ROC AUC
fpr, tpr, _ = roc_curve(y_test, y_pred_proba)
roc_auc = auc(fpr, tpr)

# Create a figure with two subplots side by side
fig, ax = plt.subplots(1, 2, figsize=(12, 6))

# Plot confusion matrix on the first subplot
disp.plot(cmap=plt.cm.Blues, ax=ax[0])
ax[0].set_title('Confusion Matrix')

# Plot ROC curve on the second subplot
ax[1].plot(fpr, tpr, color='darkorange', lw=2, label='ROC curve (area = 0.7071)' % roc_auc)
ax[1].plot([0, 1], [0, 1], color='navy', lw=2, linestyle='--')
ax[1].set_xlim([0.0, 1.0])
ax[1].set_ylim([0.0, 1.05])
ax[1].set_xlabel('False Positive Rate')
ax[1].set_ylabel('True Positive Rate')
ax[1].set_title('Receiver Operating Characteristic (ROC) Curve')
ax[1].legend(loc="lower right")

# Set the main title for the figure
fig.suptitle('DGF Dialysis ROC and Confusion Matrix for Logistic Regression')

# Show the plot
plt.show()

import matplotlib.pyplot as plt
from sklearn.metrics import confusion_matrix, ConfusionMatrixDisplay, roc_curve, auc
from sklearn.ensemble import GradientBoostingClassifier

# Predictions
y_pred = best_model.predict(X_test)

# Check if the model supports predict_proba
if hasattr(best_model, "predict_proba"):
    y_pred_proba = best_model.predict_proba(X_test)[:, 1]
else:
    # If predict_proba is not available, use decision_function and scale it to [0, 1]
    y_pred_proba = best_model.decision_function(X_test)
    y_pred_proba = (y_pred_proba - y_pred_proba.min()) / (y_pred_proba.max() - y_pred_proba.min())

# Map labels
label_mapping = {0: 'Non DGF', 1: 'DGF'}
y_test_mapped = [label_mapping[label] for label in y_test]
y_pred_mapped = [label_mapping[label] for label in y_pred]

# Plot confusion matrix
cm = confusion_matrix(y_test_mapped, y_pred_mapped, labels=['DGF', 'Non DGF'])
disp = ConfusionMatrixDisplay(confusion_matrix=cm, display_labels=['DGF', 'Non DGF'])

# Plot ROC AUC
fpr, tpr, _ = roc_curve(y_test, y_pred_proba)
roc_auc = auc(fpr, tpr)

# Create a figure with two subplots side by side
fig, ax = plt.subplots(1, 2, figsize=(12, 6))

# Plot confusion matrix on the first subplot
disp.plot(cmap=plt.cm.Blues, ax=ax[0])
ax[0].set_title('Confusion Matrix')

# Plot ROC curve on the second subplot
ax[1].plot(fpr, tpr, color='darkorange', lw=2, label='ROC curve (area = 0.7039)')
ax[1].plot([0, 1], [0, 1], color='navy', lw=2, linestyle='--')
ax[1].set_xlim([0.0, 1.0])
ax[1].set_ylim([0.0, 1.05])
ax[1].set_xlabel('False Positive Rate')
ax[1].set_ylabel('True Positive Rate')
ax[1].set_title('Receiver Operating Characteristic (ROC) Curve')
ax[1].legend(loc="lower right")

# Set the main title for the figure
fig.suptitle('DGF Dialysis ROC and Confusion Matrix for Support Vector Machine')

# Show the plot
plt.show()

import matplotlib.pyplot as plt
from sklearn.metrics import confusion_matrix, ConfusionMatrixDisplay, roc_curve, auc
from sklearn.ensemble import GradientBoostingClassifier

# Assuming best_model, X_test, and y_test are already defined

# Predictions
y_pred = best_model.predict(X_test)
y_pred_proba = best_model.predict_proba(X_test)[:, 1]

# Map labels
label_mapping = {0: 'Non DGF', 1: 'DGF'}
y_test_mapped = [label_mapping[label] for label in y_test]
y_pred_mapped = [label_mapping[label] for label in y_pred]

# Plot confusion matrix
cm = confusion_matrix(y_test_mapped, y_pred_mapped, labels=['DGF', 'Non DGF'])
disp = ConfusionMatrixDisplay(confusion_matrix=cm, display_labels=['DGF', 'Non DGF'])

# Plot ROC AUC
fpr, tpr, _ = roc_curve(y_test, y_pred_proba)
roc_auc = auc(fpr, tpr)

# Create a figure with two subplots side by side
fig, ax = plt.subplots(1, 2, figsize=(12, 6))

# Plot confusion matrix on the first subplot
disp.plot(cmap=plt.cm.Blues, ax=ax[0])
ax[0].set_title('Confusion Matrix')

# Plot ROC curve on the second subplot
ax[1].plot(fpr, tpr, color='darkorange', lw=2, label='ROC curve (area = %0.4f)' % roc_auc)
ax[1].plot([0, 1], [0, 1], color='navy', lw=2, linestyle='--')
ax[1].set_xlim([0.0, 1.0])
ax[1].set_ylim([0.0, 1.05])
ax[1].set_xlabel('False Positive Rate')
ax[1].set_ylabel('True Positive Rate')
ax[1].set_title('Receiver Operating Characteristic (ROC) Curve')
ax[1].legend(loc="lower right")

# Set the main title for the figure
fig.suptitle('DGF Dialysis ROC and Confusion Matrix for Gradient Boosting Tree')

# Show the plot
plt.show()

from sklearn.metrics import confusion_matrix, ConfusionMatrixDisplay, roc_curve, auc
from sklearn.ensemble import GradientBoostingClassifier
# Predictions
y_pred = best_model.predict(X_test)
y_pred_proba = best_model.predict_proba(X_test)[:, 1]

# Map labels
label_mapping = {0: 'Non DGF', 1: 'DGF'}
y_test_mapped = [label_mapping[label] for label in y_test]
y_pred_mapped = [label_mapping[label] for label in y_pred]

# Plot confusion matrix
cm = confusion_matrix(y_test_mapped, y_pred_mapped, labels=['DGF', 'Non DGF'])
disp = ConfusionMatrixDisplay(confusion_matrix=cm, display_labels=['DGF', 'Non DGF'])
disp.plot(cmap=plt.cm.Blues)
plt.title('Confusion Matrix')
plt.show()

# Plot ROC AUC
fpr, tpr, _ = roc_curve(y_test, y_pred_proba)
roc_auc = auc(fpr, tpr)

plt.figure()
plt.plot(fpr, tpr, color='darkorange', lw=2, label='ROC curve (area = 0.7010)' % roc_auc)
plt.plot([0, 1], [0, 1], color='navy', lw=2, linestyle='--')
plt.xlim([0.0, 1.0])
plt.ylim([0.0, 1.05])
plt.xlabel('False Positive Rate')
plt.ylabel('True Positive Rate')
plt.title('Receiver Operating Characteristic (ROC) Curve')
plt.legend(loc="lower right")
plt.show()

print("ROC AUC: %0.4f" % roc_auc)

ROC AUC: 0.7057

all_metrics, best_model = run_grid_search_gbc(X, y_crr2_lt30)

all_metrics_gbc_crr_sklearn, best_model_gbc_crr_sklearn = run_grid_search_gbc_sklearn(X, y_crr2_lt30)

# X_train, X_test, y_train, y_test = train_test_split(X, y_crr2_lt30, test_size=0.2, random_state=42)

all_metrics_gbc_crr_sklearn.to_csv('all_metrics_xgb_dgf_creatinine_sklearn.csv', index=False)

best_auc_test = all_metrics_gbc_crr_sklearn.sort_values(by=['AUC'], ascending=False).reset_index(drop=True)

best_auc_test

best_model = GradientBoostingClassifier(**{'learning_rate': 0.01, 'n_estimators': 200, 'max_depth': 3, 'random_state': 32})
best_model.fit(X_train, y_train)

GradientBoostingClassifier(learning_rate=0.01, n_estimators=200,
                           random_state=32)

GradientBoostingClassifier(learning_rate=0.01, n_estimators=200,
                           random_state=32)

y_train.value_counts()

crr2_lt30
1.0    820
0.0    665
Name: count, dtype: int64

y_test.value_counts()

crr2_lt30
1.0    202
0.0    170
Name: count, dtype: int64

best_auc_test.loc[3]['params']

"{'learning_rate': 0.01, 'n_estimators': 200, 'max_depth': 3, 'random_state': 32}"

best_auc_test.to_csv('predict_crr2_lt_30_result_gradient_boosting_classifier.csv', index=False)

# Create SHAP explainer
explainer = shap.TreeExplainer(best_model)

# Calculate SHAP values
shap_values = explainer(X_test)
shap.plots.bar(shap_values)

# Create SHAP explainer
explainer = shap.TreeExplainer(best_model, X_train)
shap_values = explainer(X_train)

# Summary force plot
shap.summary_plot(shap_values, X_train)

# Create SHAP explainer
explainer = shap.TreeExplainer(best_model)

# Calculate SHAP values
shap_values = explainer(X_test)
shap.plots.waterfall(shap_values[7])

from sklearn.metrics import confusion_matrix, ConfusionMatrixDisplay, roc_curve, auc
from sklearn.ensemble import GradientBoostingClassifier
# Predictions
y_pred = best_model.predict(X_test)
y_pred_proba = best_model.predict_proba(X_test)[:, 1]

# Map labels
label_mapping = {0: 'Non DGF', 1: 'DGF'}
y_test_mapped = [label_mapping[label] for label in y_test]
y_pred_mapped = [label_mapping[label] for label in y_pred]

# Plot confusion matrix
cm = confusion_matrix(y_test_mapped, y_pred_mapped, labels=['Non DGF', 'DGF'])
disp = ConfusionMatrixDisplay(confusion_matrix=cm, display_labels=['Non DGF', 'DGF'])
disp.plot(cmap=plt.cm.Blues)
plt.title('Confusion Matrix')
plt.show()

# Plot ROC AUC
fpr, tpr, _ = roc_curve(y_test, y_pred_proba)
roc_auc = auc(fpr, tpr)

plt.figure()
plt.plot(fpr, tpr, color='darkorange', lw=2, label='ROC curve (area = 0.7064)' % roc_auc)
plt.plot([0, 1], [0, 1], color='navy', lw=2, linestyle='--')
plt.xlim([0.0, 1.0])
plt.ylim([0.0, 1.05])
plt.xlabel('False Positive Rate')
plt.ylabel('True Positive Rate')
plt.title('Receiver Operating Characteristic (ROC) Curve')
plt.legend(loc="lower right")
plt.show()

best_model.predict_proba(X_test)

array([[0.24495676, 0.75504324],
       [0.47608077, 0.52391923],
       [0.26150516, 0.73849484],
       [0.50763669, 0.49236331],
       [0.47534304, 0.52465696],
       [0.44636113, 0.55363887],
       [0.58929018, 0.41070982],
       [0.32723575, 0.67276425],
       [0.61616479, 0.38383521],
       [0.40922701, 0.59077299],
       [0.54131662, 0.45868338],
       [0.51622525, 0.48377475],
       [0.49673935, 0.50326065],
       [0.37615662, 0.62384338],
       [0.30823799, 0.69176201],
       [0.62375942, 0.37624058],
       [0.51529352, 0.48470648],
       [0.38193339, 0.61806661],
       [0.449955  , 0.550045  ],
       [0.59970601, 0.40029399],
       [0.37928925, 0.62071075],
       [0.41911873, 0.58088127],
       [0.31809791, 0.68190209],
       [0.44559829, 0.55440171],
       [0.37615662, 0.62384338],
       [0.50484827, 0.49515173],
       [0.5063247 , 0.4936753 ],
       [0.23673144, 0.76326856],
       [0.33562421, 0.66437579],
       [0.45738793, 0.54261207],
       [0.48385564, 0.51614436],
       [0.44636113, 0.55363887],
       [0.41282815, 0.58717185],
       [0.49707079, 0.50292921],
       [0.48057784, 0.51942216],
       [0.43674602, 0.56325398],
       [0.45103979, 0.54896021],
       [0.47935827, 0.52064173],
       [0.38505415, 0.61494585],
       [0.28133605, 0.71866395],
       [0.29382495, 0.70617505],
       [0.50632913, 0.49367087],
       [0.50084926, 0.49915074],
       [0.4910986 , 0.5089014 ],
       [0.46048446, 0.53951554],
       [0.50058818, 0.49941182],
       [0.62788323, 0.37211677],
       [0.49872838, 0.50127162],
       [0.44634969, 0.55365031],
       [0.4002228 , 0.5997772 ],
       [0.3246919 , 0.6753081 ],
       [0.38505415, 0.61494585],
       [0.41130129, 0.58869871],
       [0.58307857, 0.41692143],
       [0.62224161, 0.37775839],
       [0.38362263, 0.61637737],
       [0.39897527, 0.60102473],
       [0.43221544, 0.56778456],
       [0.37615662, 0.62384338],
       [0.50369381, 0.49630619],
       [0.40426067, 0.59573933],
       [0.52948827, 0.47051173],
       [0.58234973, 0.41765027],
       [0.41072315, 0.58927685],
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       [0.4571218 , 0.5428782 ],
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       [0.51122773, 0.48877227],
       [0.38512727, 0.61487273],
       [0.4542181 , 0.5457819 ],
       [0.4834603 , 0.5165397 ],
       [0.40083935, 0.59916065],
       [0.51772355, 0.48227645],
       [0.32315933, 0.67684067],
       [0.53334105, 0.46665895],
       [0.48773833, 0.51226167],
       [0.44597944, 0.55402056],
       [0.56064457, 0.43935543],
       [0.4474634 , 0.5525366 ],
       [0.37062123, 0.62937877],
       [0.4929263 , 0.5070737 ],
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       [0.28685071, 0.71314929],
       [0.52726669, 0.47273331],
       [0.60912935, 0.39087065],
       [0.29694181, 0.70305819],
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       [0.40184324, 0.59815676],
       [0.52714575, 0.47285425],
       [0.45118158, 0.54881842],
       [0.41286194, 0.58713806],
       [0.31000968, 0.68999032],
       [0.32084161, 0.67915839],
       [0.26983744, 0.73016256],
       [0.45411175, 0.54588825],
       [0.38681731, 0.61318269],
       [0.44744561, 0.55255439],
       [0.45366144, 0.54633856],
       [0.37834346, 0.62165654],
       [0.37006595, 0.62993405],
       [0.36615858, 0.63384142],
       [0.29818334, 0.70181666],
       [0.38505415, 0.61494585],
       [0.39942818, 0.60057182],
       [0.41286194, 0.58713806],
       [0.4733801 , 0.5266199 ],
       [0.43127562, 0.56872438],
       [0.26059962, 0.73940038],
       [0.42326958, 0.57673042],
       [0.38440418, 0.61559582],
       [0.46514632, 0.53485368],
       [0.46083771, 0.53916229],
       [0.38505415, 0.61494585],
       [0.39847852, 0.60152148],
       [0.49867628, 0.50132372],
       [0.44095993, 0.55904007],
       [0.50811144, 0.49188856],
       [0.46658939, 0.53341061],
       [0.38236979, 0.61763021],
       [0.39523398, 0.60476602],
       [0.50369381, 0.49630619],
       [0.39520455, 0.60479545],
       [0.4148165 , 0.5851835 ],
       [0.46348327, 0.53651673],
       [0.4066747 , 0.5933253 ],
       [0.50632913, 0.49367087],
       [0.40204702, 0.59795298],
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       [0.50331339, 0.49668661],
       [0.29382495, 0.70617505],
       [0.40165944, 0.59834056],
       [0.38529803, 0.61470197],
       [0.5513141 , 0.4486859 ],
       [0.50811144, 0.49188856],
       [0.4436132 , 0.5563868 ],
       [0.53044014, 0.46955986],
       [0.39520455, 0.60479545],
       [0.52234486, 0.47765514],
       [0.4426672 , 0.5573328 ],
       [0.48259895, 0.51740105],
       [0.49220182, 0.50779818],
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       [0.38505415, 0.61494585],
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       [0.54481784, 0.45518216],
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       [0.51182126, 0.48817874],
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       [0.35197713, 0.64802287],
       [0.32477525, 0.67522475],
       [0.47115471, 0.52884529],
       [0.38505415, 0.61494585],
       [0.40147046, 0.59852954],
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       [0.46348327, 0.53651673],
       [0.53575513, 0.46424487],
       [0.28185162, 0.71814838],
       [0.4418875 , 0.5581125 ],
       [0.37615662, 0.62384338],
       [0.3311247 , 0.6688753 ],
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       [0.39897527, 0.60102473],
       [0.52017454, 0.47982546],
       [0.63145456, 0.36854544],
       [0.5478185 , 0.4521815 ],
       [0.48675266, 0.51324734],
       [0.449955  , 0.550045  ],
       [0.26868247, 0.73131753],
       [0.31498712, 0.68501288],
       [0.33262817, 0.66737183],
       [0.4746875 , 0.5253125 ],
       [0.41896622, 0.58103378],
       [0.46577687, 0.53422313],
       [0.42660406, 0.57339594],
       [0.30215186, 0.69784814],
       [0.51324477, 0.48675523],
       [0.39520455, 0.60479545],
       [0.35822276, 0.64177724],
       [0.51594457, 0.48405543],
       [0.41579703, 0.58420297],
       [0.52202454, 0.47797546],
       [0.40925399, 0.59074601],
       [0.37615662, 0.62384338],
       [0.52004314, 0.47995686],
       [0.52894535, 0.47105465],
       [0.27844161, 0.72155839],
       [0.39580701, 0.60419299],
       [0.39917981, 0.60082019],
       [0.46323255, 0.53676745],
       [0.30242979, 0.69757021],
       [0.55462421, 0.44537579],
       [0.47265429, 0.52734571],
       [0.46285189, 0.53714811],
       [0.46942318, 0.53057682],
       [0.49766202, 0.50233798],
       [0.41041306, 0.58958694],
       [0.29801678, 0.70198322],
       [0.57278476, 0.42721524],
       [0.4370538 , 0.5629462 ],
       [0.41139763, 0.58860237],
       [0.38505415, 0.61494585],
       [0.4435869 , 0.5564131 ],
       [0.52544576, 0.47455424],
       [0.58950507, 0.41049493],
       [0.46064607, 0.53935393],
       [0.3835886 , 0.6164114 ],
       [0.58827461, 0.41172539],
       [0.37198585, 0.62801415],
       [0.54749306, 0.45250694],
       [0.44088705, 0.55911295],
       [0.3065215 , 0.6934785 ],
       [0.33137972, 0.66862028],
       [0.61793925, 0.38206075],
       [0.28819133, 0.71180867],
       [0.33978196, 0.66021804],
       [0.46401803, 0.53598197],
       [0.51306057, 0.48693943],
       [0.5858681 , 0.4141319 ],
       [0.47008581, 0.52991419],
       [0.28142594, 0.71857406],
       [0.45705608, 0.54294392],
       [0.59230493, 0.40769507],
       [0.60321385, 0.39678615],
       [0.53710038, 0.46289962],
       [0.37528243, 0.62471757],
       [0.39548902, 0.60451098],
       [0.39897527, 0.60102473],
       [0.56209306, 0.43790694],
       [0.43121755, 0.56878245],
       [0.33130375, 0.66869625],
       [0.38505415, 0.61494585],
       [0.45411175, 0.54588825],
       [0.60597473, 0.39402527],
       [0.49683218, 0.50316782],
       [0.51264241, 0.48735759],
       [0.39523398, 0.60476602],
       [0.2859418 , 0.7140582 ],
       [0.50097834, 0.49902166],
       [0.40306353, 0.59693647],
       [0.44383253, 0.55616747],
       [0.47207112, 0.52792888],
       [0.38364555, 0.61635445],
       [0.3483449 , 0.6516551 ],
       [0.51329873, 0.48670127],
       [0.57982362, 0.42017638],
       [0.47601808, 0.52398192],
       [0.3791562 , 0.6208438 ],
       [0.45847805, 0.54152195],
       [0.41826475, 0.58173525],
       [0.57381968, 0.42618032],
       [0.25840146, 0.74159854],
       [0.49021712, 0.50978288],
       [0.35882388, 0.64117612],
       [0.41286194, 0.58713806],
       [0.53298529, 0.46701471],
       [0.62375942, 0.37624058],
       [0.39892876, 0.60107124]])

df_cleaned['crr2_lt30'].value_counts(normalized=True)

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
Cell In[193], line 1
----> 1 df_cleaned['crr2_lt30'].value_counts(normalized=True)

TypeError: IndexOpsMixin.value_counts() got an unexpected keyword argument 'normalized'

from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import GridSearchCV
from sklearn.metrics import roc_auc_score, accuracy_score, f1_score, precision_score, recall_score, confusion_matrix, make_scorer
import pandas as pd
import numpy as np

# Random states, criterion, n_estimators, max_depth to search
param_grid = {
    'random_state': [32, 100, 777, 2022, 8888],
    'criterion': ['gini', 'entropy', 'log_loss'],
    'n_estimators': [8, 16, 50, 100, 150, 200],
    'max_depth': [2, 4, 8, 16, 32]
}

# Custom scorer for specificity
def specificity_score(y_true, y_pred):
    tn, fp, fn, tp = confusion_matrix(y_true, y_pred).ravel()
    return tn / (tn + fp)

# Custom scorer for weighted specificity
def weighted_specificity_score(y_true, y_pred):
    cm = confusion_matrix(y_true, y_pred)
    tn = cm[0][0]
    fp = cm[0][1]
    fn = cm[1][0]
    tp = cm[1][1]
    specificity = tn / (tn + fp)
    return specificity

# Define scoring dictionary
scoring = {
    'AUC': 'roc_auc',
    'Accuracy': 'accuracy',
    'F1_weighted': make_scorer(f1_score, average='weighted'),
    'Sensitivity': make_scorer(recall_score, pos_label=1),
    'Specificity': make_scorer(specificity_score),
    'Precision': make_scorer(precision_score, pos_label=1, zero_division=0),
    'Recall': make_scorer(recall_score, pos_label=1),
    'Sensitivity_weighted': make_scorer(recall_score, average='weighted'),
    'Specificity_weighted': make_scorer(weighted_specificity_score),
    'Precision_weighted': make_scorer(precision_score, average='weighted', zero_division=0),
    'Recall_weighted': make_scorer(recall_score, average='weighted')
}

def calculate_confidence_interval(data):
    mean = np.mean(data)
    std_err = np.std(data) / np.sqrt(len(data))
    ci = 1.96 * std_err
    return mean, ci

def run_grid_search(X, y):
    # Set up the Random Forest Classifier and GridSearchCV
    rf = RandomForestClassifier()
    grid_search = GridSearchCV(estimator=rf, param_grid=param_grid, scoring=scoring, cv=5, n_jobs=-1, return_train_score=True, refit='Accuracy')
    
    # Fit the grid search on the entire dataset
    grid_search.fit(X, y)
    
    # Access all the results
    results = pd.DataFrame(grid_search.cv_results_)
    
    # Sort the models by mean test accuracy score
    results = results.sort_values(by='mean_test_AUC', ascending=False)
    
    # Get top N models by mean test accuracy score
    top_models = results
    
    top_models_metrics = []
    
    for i, row in top_models.iterrows():
        params = {key: row['param_' + key] for key in param_grid}
        
        # Collect mean metrics and confidence intervals from cross-validation results
        metrics = {
            'AUC': f"{round(row['mean_test_AUC'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_AUC'] for j in range(5)])[1], 4)}",
            'Accuracy': f"{round(row['mean_test_Accuracy'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Accuracy'] for j in range(5)])[1], 4)}",
            'F1_weighted': f"{round(row['mean_test_F1_weighted'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_F1_weighted'] for j in range(5)])[1], 4)}",
            'Sensitivity': f"{round(row['mean_test_Sensitivity'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Sensitivity'] for j in range(5)])[1], 4)}",
            'Specificity': f"{round(row['mean_test_Specificity'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Specificity'] for j in range(5)])[1], 4)}",
            'Precision': f"{round(row['mean_test_Precision'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Precision'] for j in range(5)])[1], 4)}",
            'Recall': f"{round(row['mean_test_Recall'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Recall'] for j in range(5)])[1], 4)}",
            'Sensitivity_weighted': f"{round(row['mean_test_Sensitivity_weighted'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Sensitivity_weighted'] for j in range(5)])[1], 4)}",
            'Specificity_weighted': f"{round(row['mean_test_Specificity_weighted'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Specificity_weighted'] for j in range(5)])[1], 4)}",
            'Precision_weighted': f"{round(row['mean_test_Precision_weighted'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Precision_weighted'] for j in range(5)])[1], 4)}",
            'Recall_weighted': f"{round(row['mean_test_Recall_weighted'], 4)} ± {round(calculate_confidence_interval([row[f'split{j}_test_Recall_weighted'] for j in range(5)])[1], 4)}",
            'params': params,
        }
        
        top_models_metrics.append(metrics)
    
    return pd.DataFrame(top_models_metrics), grid_search.best_estimator_

all_metrics_crr_rf, best_model_crr_rf = run_grid_search(X, y_crr2_lt30)

/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/numpy/ma/core.py:2846: RuntimeWarning: invalid value encountered in cast
  _data = np.array(data, dtype=dtype, copy=copy,

second_all_metrics = all_metrics_crr_rf
second_best_model = best_model_crr_rf

second_all_metrics.to_csv('all_metrics_rf_dgf_creatinine.csv', index=False)

best_auc_test = second_all_metrics.sort_values(by=['AUC'], ascending=False).reset_index(drop=True)

best_auc_test[best_auc_test['AUC'] > '0.64'].sort_values(by=['F1_weighted'], ascending=False).reset_index(drop=True)

best_auc_test.loc[1]['params']

{'random_state': 100, 'criterion': 'gini', 'n_estimators': 150, 'max_depth': 2}

best_model = RandomForestClassifier(**{'random_state': 100, 'criterion': 'entropy', 'n_estimators': 150, 'max_depth': 16})
best_model.fit(X_train, y_train)

RandomForestClassifier(criterion='entropy', max_depth=16, n_estimators=150,
                       random_state=100)

RandomForestClassifier(criterion='entropy', max_depth=16, n_estimators=150,
                       random_state=100)

explainer = shap.TreeExplainer(best_model)

# Calculate SHAP values for test set
shap_values = explainer.shap_values(X_test)

shap.summary_plot(shap_values[:,:,1], X_test, plot_type='bar')

# SHAP analysis
def shap_analysis(model, X_train, X_test):
    explainer = shap.TreeExplainer(model)
    
    # Calculate SHAP values for test set
    shap_values = explainer.shap_values(X_test)
    
    # Summary plot
    shap.summary_plot(shap_values[:,:,1], X_test)

shap_analysis(best_model, X_train, X_test)

# Create SHAP explainer
explainer = shap.TreeExplainer(best_model)

# Calculate SHAP values
shap_values = explainer(X_test)

shap.plots.bar(shap_values[:,:,0])

explainer = shap.TreeExplainer(best_model)

# Calculate SHAP values for test set
shap_values = explainer.shap_values(X_test)

# Force plot for a single prediction (e.g., the first instance in the test set)
shap.initjs()
shap.plots.force(explainer.expected_value[0], shap_values[:,:,0], X_test.columns)

# Force plot for a single prediction (e.g., the first instance in the test set)
shap.initjs()
shap.plots.decision(explainer.expected_value[0], shap_values[:,:,0], X_test)

def run_grid_search_cont(X, y):
    # Set up the Random Forest Regressor and GridSearchCV
    rf = RandomForestRegressor()
    grid_search = GridSearchCV(estimator=rf, param_grid=param_grid, scoring='accuracy', cv=5, n_jobs=-1, return_train_score=True)
    
    # Splitting the data
    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
    grid_search.fit(X_train, y_train)
    
    # Access all the results
    results = pd.DataFrame(grid_search.cv_results_)
    
    # Sort the models by test AUC score
    results = results.sort_values(by='mean_test_score', ascending=False)
    
    # Get top N models by AUC score
    top_models = results
    
    top_models_metrics = []
    
    for i, row in top_models.iterrows():
        params = {key: row['param_' + key] for key in param_grid}
        #print(f"Parameters for model {i+1}: {params}")
        
        # Re-train the model with the top parameters
        model = RandomForestClassifier(**params)
        model.fit(X_train, y_train)
        
        # Predictions
        y_train_pred = model.predict(X_train)
        y_test_pred = model.predict(X_test)
        
        # Metrics calculation
        metrics = {
            'AUC_train': round(roc_auc_score(y_train, model.predict_proba(X_train)[:, 1]), 4),
            'AUC_test': round(roc_auc_score(y_test, model.predict_proba(X_test)[:, 1]), 4),
            'Accuracy_train': round(accuracy_score(y_train, y_train_pred), 4),
            'Accuracy_test': round(accuracy_score(y_test, y_test_pred), 4),
            'F1_Class1_train': round(f1_score(y_train, y_train_pred, pos_label=1), 4),
            'F1_Class1_test': round(f1_score(y_test, y_test_pred, pos_label=1), 4),
            'F1_Class0_train': round(f1_score(y_train, y_train_pred, pos_label=0), 4),
            'F1_Class0_test': round(f1_score(y_test, y_test_pred, pos_label=0), 4),
            'params': params,
        }
        
        top_models_metrics.append(metrics)
    
    return pd.DataFrame(top_models_metrics), model, X_train, X_test, y_train, y_test

all_metrics, best_model, X_train, X_test, y_train, y_test = run_grid_search_cont(X, y_crr2)

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[126], line 1
----> 1 all_metrics, best_model, X_train, X_test, y_train, y_test = run_grid_search_cont(X, y_crr2)

Cell In[121], line 8, in run_grid_search_cont(X, y)
      6 # Splitting the data
      7 X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
----> 8 grid_search.fit(X_train, y_train)
     10 # Access all the results
     11 results = pd.DataFrame(grid_search.cv_results_)

File ~/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/base.py:1473, in _fit_context.<locals>.decorator.<locals>.wrapper(estimator, *args, **kwargs)
   1466     estimator._validate_params()
   1468 with config_context(
   1469     skip_parameter_validation=(
   1470         prefer_skip_nested_validation or global_skip_validation
   1471     )
   1472 ):
-> 1473     return fit_method(estimator, *args, **kwargs)

File ~/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_search.py:1019, in BaseSearchCV.fit(self, X, y, **params)
   1013     results = self._format_results(
   1014         all_candidate_params, n_splits, all_out, all_more_results
   1015     )
   1017     return results
-> 1019 self._run_search(evaluate_candidates)
   1021 # multimetric is determined here because in the case of a callable
   1022 # self.scoring the return type is only known after calling
   1023 first_test_score = all_out[0]["test_scores"]

File ~/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_search.py:1573, in GridSearchCV._run_search(self, evaluate_candidates)
   1571 def _run_search(self, evaluate_candidates):
   1572     """Search all candidates in param_grid"""
-> 1573     evaluate_candidates(ParameterGrid(self.param_grid))

File ~/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_search.py:996, in BaseSearchCV.fit.<locals>.evaluate_candidates(candidate_params, cv, more_results)
    989 elif len(out) != n_candidates * n_splits:
    990     raise ValueError(
    991         "cv.split and cv.get_n_splits returned "
    992         "inconsistent results. Expected {} "
    993         "splits, got {}".format(n_splits, len(out) // n_candidates)
    994     )
--> 996 _warn_or_raise_about_fit_failures(out, self.error_score)
    998 # For callable self.scoring, the return type is only know after
    999 # calling. If the return type is a dictionary, the error scores
   1000 # can now be inserted with the correct key. The type checking
   1001 # of out will be done in `_insert_error_scores`.
   1002 if callable(self.scoring):

File ~/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:529, in _warn_or_raise_about_fit_failures(results, error_score)
    522 if num_failed_fits == num_fits:
    523     all_fits_failed_message = (
    524         f"\nAll the {num_fits} fits failed.\n"
    525         "It is very likely that your model is misconfigured.\n"
    526         "You can try to debug the error by setting error_score='raise'.\n\n"
    527         f"Below are more details about the failures:\n{fit_errors_summary}"
    528     )
--> 529     raise ValueError(all_fits_failed_message)
    531 else:
    532     some_fits_failed_message = (
    533         f"\n{num_failed_fits} fits failed out of a total of {num_fits}.\n"
    534         "The score on these train-test partitions for these parameters"
   (...)
    538         f"Below are more details about the failures:\n{fit_errors_summary}"
    539     )

ValueError: 
All the 2250 fits failed.
It is very likely that your model is misconfigured.
You can try to debug the error by setting error_score='raise'.

Below are more details about the failures:
--------------------------------------------------------------------------------
192 fits failed with the following error:
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 888, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/base.py", line 1466, in wrapper
    estimator._validate_params()
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/base.py", line 666, in _validate_params
    validate_parameter_constraints(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 95, in validate_parameter_constraints
    raise InvalidParameterError(
sklearn.utils._param_validation.InvalidParameterError: The 'criterion' parameter of RandomForestRegressor must be a str among {'friedman_mse', 'poisson', 'squared_error', 'absolute_error'}. Got 'gini' instead.

--------------------------------------------------------------------------------
197 fits failed with the following error:
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 888, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/base.py", line 1466, in wrapper
    estimator._validate_params()
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/base.py", line 666, in _validate_params
    validate_parameter_constraints(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 95, in validate_parameter_constraints
    raise InvalidParameterError(
sklearn.utils._param_validation.InvalidParameterError: The 'criterion' parameter of RandomForestRegressor must be a str among {'friedman_mse', 'squared_error', 'poisson', 'absolute_error'}. Got 'gini' instead.

--------------------------------------------------------------------------------
168 fits failed with the following error:
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 888, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/base.py", line 1466, in wrapper
    estimator._validate_params()
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/base.py", line 666, in _validate_params
    validate_parameter_constraints(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 95, in validate_parameter_constraints
    raise InvalidParameterError(
sklearn.utils._param_validation.InvalidParameterError: The 'criterion' parameter of RandomForestRegressor must be a str among {'poisson', 'absolute_error', 'squared_error', 'friedman_mse'}. Got 'gini' instead.

--------------------------------------------------------------------------------
193 fits failed with the following error:
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 888, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/base.py", line 1466, in wrapper
    estimator._validate_params()
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/base.py", line 666, in _validate_params
    validate_parameter_constraints(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 95, in validate_parameter_constraints
    raise InvalidParameterError(
sklearn.utils._param_validation.InvalidParameterError: The 'criterion' parameter of RandomForestRegressor must be a str among {'squared_error', 'friedman_mse', 'poisson', 'absolute_error'}. Got 'gini' instead.

--------------------------------------------------------------------------------
174 fits failed with the following error:
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 888, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/base.py", line 1466, in wrapper
    estimator._validate_params()
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/base.py", line 666, in _validate_params
    validate_parameter_constraints(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 95, in validate_parameter_constraints
    raise InvalidParameterError(
sklearn.utils._param_validation.InvalidParameterError: The 'criterion' parameter of RandomForestRegressor must be a str among {'poisson', 'absolute_error', 'squared_error', 'friedman_mse'}. Got 'entropy' instead.

--------------------------------------------------------------------------------
192 fits failed with the following error:
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 888, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/base.py", line 1466, in wrapper
    estimator._validate_params()
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/base.py", line 666, in _validate_params
    validate_parameter_constraints(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 95, in validate_parameter_constraints
    raise InvalidParameterError(
sklearn.utils._param_validation.InvalidParameterError: The 'criterion' parameter of RandomForestRegressor must be a str among {'friedman_mse', 'squared_error', 'poisson', 'absolute_error'}. Got 'entropy' instead.

--------------------------------------------------------------------------------
192 fits failed with the following error:
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 888, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/base.py", line 1466, in wrapper
    estimator._validate_params()
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/base.py", line 666, in _validate_params
    validate_parameter_constraints(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 95, in validate_parameter_constraints
    raise InvalidParameterError(
sklearn.utils._param_validation.InvalidParameterError: The 'criterion' parameter of RandomForestRegressor must be a str among {'friedman_mse', 'poisson', 'squared_error', 'absolute_error'}. Got 'entropy' instead.

--------------------------------------------------------------------------------
192 fits failed with the following error:
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 888, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/base.py", line 1466, in wrapper
    estimator._validate_params()
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/base.py", line 666, in _validate_params
    validate_parameter_constraints(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 95, in validate_parameter_constraints
    raise InvalidParameterError(
sklearn.utils._param_validation.InvalidParameterError: The 'criterion' parameter of RandomForestRegressor must be a str among {'squared_error', 'friedman_mse', 'poisson', 'absolute_error'}. Got 'entropy' instead.

--------------------------------------------------------------------------------
204 fits failed with the following error:
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 888, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/base.py", line 1466, in wrapper
    estimator._validate_params()
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/base.py", line 666, in _validate_params
    validate_parameter_constraints(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 95, in validate_parameter_constraints
    raise InvalidParameterError(
sklearn.utils._param_validation.InvalidParameterError: The 'criterion' parameter of RandomForestRegressor must be a str among {'poisson', 'absolute_error', 'squared_error', 'friedman_mse'}. Got 'log_loss' instead.

--------------------------------------------------------------------------------
216 fits failed with the following error:
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 888, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/base.py", line 1466, in wrapper
    estimator._validate_params()
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/base.py", line 666, in _validate_params
    validate_parameter_constraints(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 95, in validate_parameter_constraints
    raise InvalidParameterError(
sklearn.utils._param_validation.InvalidParameterError: The 'criterion' parameter of RandomForestRegressor must be a str among {'friedman_mse', 'squared_error', 'poisson', 'absolute_error'}. Got 'log_loss' instead.

--------------------------------------------------------------------------------
190 fits failed with the following error:
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 888, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/base.py", line 1466, in wrapper
    estimator._validate_params()
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/base.py", line 666, in _validate_params
    validate_parameter_constraints(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 95, in validate_parameter_constraints
    raise InvalidParameterError(
sklearn.utils._param_validation.InvalidParameterError: The 'criterion' parameter of RandomForestRegressor must be a str among {'friedman_mse', 'poisson', 'squared_error', 'absolute_error'}. Got 'log_loss' instead.

--------------------------------------------------------------------------------
140 fits failed with the following error:
Traceback (most recent call last):
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 888, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/base.py", line 1466, in wrapper
    estimator._validate_params()
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/base.py", line 666, in _validate_params
    validate_parameter_constraints(
  File "/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/sklearn/utils/_param_validation.py", line 95, in validate_parameter_constraints
    raise InvalidParameterError(
sklearn.utils._param_validation.InvalidParameterError: The 'criterion' parameter of RandomForestRegressor must be a str among {'squared_error', 'friedman_mse', 'poisson', 'absolute_error'}. Got 'log_loss' instead.

X, y_dgf, y_crr2_lt30 = df_cleaned.drop(columns=["crr2_lt30", "dgf"]), df_cleaned['dgf'], df_cleaned['crr2_lt30']

X.sample(10)

import pandas as pd
X = pd.read_csv('X_train_without_crr2.csv')

X.columns

Index(['rage', 'rsex', 'rwhite', 'rbmi', 'tdialyr', 'pkpracat0', 'rhist_dm',
       'rhist_chd', 'rhist_chf', 'rhist_stroke', 'rhist_pvd', 'rhist_cld',
       'rhist_skin_cancer', 'rhist_non_skin_cancer', 'dage', 'dsex', 'dbmi',
       'ddeathcause_cva', 'cit', 'ecd', 'dcd', 'regraft', 'inductype'],
      dtype='object')

X.describe()

normalized_vars = ['crr2','rage', 'rbmi', 'tdialyr', 'dage', 'dbmi', 'cit', 'days_to_readmission', 'days_to_status']

# Initialize the StandardScaler
scaler = StandardScaler()

# Fit and transform the numerical columns
X[normalized_vars] = scaler.fit_transform(X[normalized_vars])

all_metrics, best_model, X_train, X_test, y_train, y_test = run_grid_search(X, y_dgf)

X_train, X_test, y_train, y_test = train_test_split(X, y_dgf, test_size=0.2, random_state=42)

X_train.to_csv('X_train_with_crr2.csv',index=False)
X_test.to_csv('X_test_with_crr2.csv',index=False)
y_train.to_csv('y_dgf_train_with_crr2.csv',index=False)
y_test.to_csv('y_dgf_test_with_crr2.csv',index=False)

third_all_metrics = all_metrics
third_best_model = best_model

best_auc_test = all_metrics.sort_values(by=['AUC_test'], ascending=False).reset_index(drop=True)

best_auc_test.head(10)

best_auc_test = all_metrics.sort_values(by=['AUC_test'], ascending=False).reset_index(drop=True)

best_model = RandomForestClassifier(**best_auc_test.loc[1]['params'])
best_model.fit(X_train, y_train)

RandomForestClassifier(criterion='entropy', max_depth=2, n_estimators=16,
                       random_state=8888)

RandomForestClassifier(criterion='entropy', max_depth=2, n_estimators=16,
                       random_state=8888)

explainer = shap.TreeExplainer(best_model)

# Calculate SHAP values for test set
shap_values = explainer.shap_values(X_test)

shap.summary_plot(shap_values[:,:,1], X_test, plot_type='bar')

shap_analysis(best_model, X_train, X_test)

# Create SHAP explainer
explainer = shap.TreeExplainer(best_model)

# Calculate SHAP values
shap_values = explainer(X_test)

shap.plots.bar(shap_values[:,:,0])

explainer = shap.TreeExplainer(best_model)

# Calculate SHAP values for test set
shap_values = explainer.shap_values(X_test)

# Force plot for a single prediction (e.g., the first instance in the test set)
shap.initjs()
shap.plots.force(explainer.expected_value[0], shap_values[:,:,0], X_test.columns)

# Force plot for a single prediction (e.g., the first instance in the test set)
shap.initjs()
shap.plots.decision(explainer.expected_value[0], shap_values[:,:,0], X_test)

model_evaluation(RandomForestClassifier(random_state=42), X, y_dgf)

Model: RandomForestClassifier(random_state=42)
Accuracy: 0.6371
AUC: 0.5517
F1 Score (Class 1): 0.2703
F1 Score (Class 2): 0.7585
Average Cross-validation Score: 0.6498

model_evaluation(RandomForestClassifier(random_state=42), X, y_crr2_lt30)

Model: RandomForestClassifier(random_state=42)
Accuracy: 0.5887
AUC: 0.5997
F1 Score (Class 1): 0.4742
F1 Score (Class 2): 0.6623
Average Cross-validation Score: 0.5787

# Random states, criterion, n_estimators, max_depth to search
param_grid = {
    'random_state': [32, 100, 777, 2022, 8888],
    'criterion': ['gini', 'entropy', 'log_loss'],
    'n_estimators': [8, 16, 50, 100, 150, 200],
    'max_depth': [2, 4, 8, 16, 32]
}

def run_grid_search(X, y):
    rf = RandomForestClassifier()
    grid_search = GridSearchCV(estimator=rf, param_grid=param_grid, scoring='accuracy', cv=5, n_jobs=-1)
    
    # Splitting the data
    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
    grid_search.fit(X_train, y_train)
    
    # Best parameters from grid search
    print(f"Best parameters: {grid_search.best_params_}")
    best_rf = grid_search.best_estimator_

    # Predictions
    y_train_pred = best_rf.predict(X_train)
    y_test_pred = best_rf.predict(X_test)
    
    # Metrics calculation and rounding
    metrics = {
        'AUC_train': round(roc_auc_score(y_train, best_rf.predict_proba(X_train)[:,1]), 4),
        'AUC_test': round(roc_auc_score(y_test, best_rf.predict_proba(X_test)[:,1]), 4),
        'Accuracy_train': round(accuracy_score(y_train, y_train_pred), 4),
        'Accuracy_test': round(accuracy_score(y_test, y_test_pred), 4),
        'F1_Class1_train': round(f1_score(y_train, y_train_pred, pos_label=1), 4),
        'F1_Class1_test': round(f1_score(y_test, y_test_pred, pos_label=1), 4),
        'F1_Class0_train': round(f1_score(y_train, y_train_pred, pos_label=0), 4),
        'F1_Class0_test': round(f1_score(y_test, y_test_pred, pos_label=0), 4)
    }
    
    # Cross-validation scores
    cross_val_train = round(np.mean(cross_val_score(best_rf, X_train, y_train, cv=5)), 4)
    cross_val_test = round(np.mean(cross_val_score(best_rf, X_test, y_test, cv=5)), 4)
    
    metrics['Cross_Val_Score_train'] = cross_val_train
    metrics['Cross_Val_Score_test'] = cross_val_test

    return metrics

run_grid_search(X,y_dgf)

Best parameters: {'criterion': 'entropy', 'max_depth': 8, 'n_estimators': 50, 'random_state': 2022}

{'AUC_train': np.float64(0.9596101517064755),
 'AUC_test': np.float64(0.5875081967213114),
 'Accuracy_train': 0.818733153638814,
 'Accuracy_test': 0.696236559139785,
 'F1_Class1_train': np.float64(0.6624843161856964),
 'F1_Class1_test': np.float64(0.25165562913907286),
 'F1_Class2_train': np.float64(0.8760939659143252),
 'F1_Class2_test': np.float64(0.8094435075885329),
 'Cross_Val_Score': np.float64(0.6731959231959233)}

run_grid_search(X,y_dgf)

/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/numpy/ma/core.py:2881: RuntimeWarning: invalid value encountered in cast
  _data = np.array(data, dtype=dtype, copy=copy,

Best parameters: {'criterion': 'entropy', 'max_depth': 8, 'n_estimators': 50, 'random_state': 2022}

{'AUC_train': np.float64(0.9596),
 'AUC_test': np.float64(0.5875),
 'Accuracy_train': 0.8187,
 'Accuracy_test': 0.6962,
 'F1_Class1_train': np.float64(0.6625),
 'F1_Class1_test': np.float64(0.2517),
 'F1_Class0_train': np.float64(0.8761),
 'F1_Class0_test': np.float64(0.8094),
 'Cross_Val_Score_train': np.float64(0.6732),
 'Cross_Val_Score_test': np.float64(0.6587)}

# Random states, criterion, n_estimators, max_depth to search
param_grid = {
    'random_state': [32, 100, 777, 2022, 8888],
    'criterion': ['gini', 'entropy', 'log_loss'],
    'n_estimators': [8, 16, 50, 100, 150, 200],
    'max_depth': [2, 4, 8, 16, 32]
}

def run_grid_search(X, y, rank=1):
    rf = RandomForestClassifier()
    grid_search = GridSearchCV(estimator=rf, param_grid=param_grid, scoring='accuracy', cv=5, n_jobs=-1)
    
    # Splitting the data
    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
    grid_search.fit(X_train, y_train)
    
    # Access all the results
    results = grid_search.cv_results_
    sorted_indices = np.argsort(results['rank_test_score'])
    
    # Get the rank-th best model
    best_index = sorted_indices[rank-1]  # rank-1 because index starts from 0
    best_params = {key: results['param_' + key][best_index] for key in param_grid}
    print(f"Parameters for {rank} best model: {best_params}")
    
    # Use the rank-th best model's parameters
    best_rf = RandomForestClassifier(**best_params)
    best_rf.fit(X_train, y_train)
    
    # Predictions
    y_train_pred = best_rf.predict(X_train)
    y_test_pred = best_rf.predict(X_test)
    
    # Metrics calculation and rounding
    metrics = {
        'AUC_train': round(roc_auc_score(y_train, best_rf.predict_proba(X_train)[:,1]), 4),
        'AUC_test': round(roc_auc_score(y_test, best_rf.predict_proba(X_test)[:,1]), 4),
        'Accuracy_train': round(accuracy_score(y_train, y_train_pred), 4),
        'Accuracy_test': round(accuracy_score(y_test, y_test_pred), 4),
        'F1_Class1_train': round(f1_score(y_train, y_train_pred, pos_label=1), 4),
        'F1_Class1_test': round(f1_score(y_test, y_test_pred, pos_label=1), 4),
        'F1_Class0_train': round(f1_score(y_train, y_train_pred, pos_label=0), 4),
        'F1_Class0_test': round(f1_score(y_test, y_test_pred, pos_label=0), 4)
    }
    
    # Cross-validation scores
    cross_val_train = round(np.mean(cross_val_score(best_rf, X_train, y_train, cv=5)), 4)
    cross_val_test = round(np.mean(cross_val_score(best_rf, X_test, y_test, cv=5)), 4)
    
    metrics['Cross_Val_Score_train'] = cross_val_train
    metrics['Cross_Val_Score_test'] = cross_val_test

    return metrics

# running for 2nd and 3rd best models on dataset
metrics_2nd_best = run_grid_search(X, y_dgf, rank=2)

Parameters for 2 best model: {'random_state': np.int64(2022), 'criterion': 'log_loss', 'n_estimators': np.int64(50), 'max_depth': np.int64(8)}

metrics_2nd_best

{'AUC_train': np.float64(0.9596),
 'AUC_test': np.float64(0.5875),
 'Accuracy_train': 0.8187,
 'Accuracy_test': 0.6962,
 'F1_Class1_train': np.float64(0.6625),
 'F1_Class1_test': np.float64(0.2517),
 'F1_Class0_train': np.float64(0.8761),
 'F1_Class0_test': np.float64(0.8094),
 'Cross_Val_Score_train': np.float64(0.6732),
 'Cross_Val_Score_test': np.float64(0.6587)}

metrics_3rd_best = run_grid_search(X, y_dgf, rank=3)

/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/numpy/ma/core.py:2881: RuntimeWarning: invalid value encountered in cast
  _data = np.array(data, dtype=dtype, copy=copy,

Parameters for 3 best model: {'random_state': np.int64(8888), 'criterion': 'log_loss', 'n_estimators': np.int64(100), 'max_depth': np.int64(8)}

metrics_3rd_best

{'AUC_train': np.float64(0.9628),
 'AUC_test': np.float64(0.5931),
 'Accuracy_train': 0.8208,
 'Accuracy_test': 0.6909,
 'F1_Class1_train': np.float64(0.6667),
 'F1_Class1_test': np.float64(0.2581),
 'F1_Class0_train': np.float64(0.8774),
 'F1_Class0_test': np.float64(0.8048),
 'Cross_Val_Score_train': np.float64(0.6718),
 'Cross_Val_Score_test': np.float64(0.6613)}

metrics_4th_best = run_grid_search(X, y_dgf, rank=4)

/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/numpy/ma/core.py:2881: RuntimeWarning: invalid value encountered in cast
  _data = np.array(data, dtype=dtype, copy=copy,

Parameters for 4 best model: {'random_state': np.int64(8888), 'criterion': 'entropy', 'n_estimators': np.int64(100), 'max_depth': np.int64(8)}

metrics_4th_best

{'AUC_train': np.float64(0.9628),
 'AUC_test': np.float64(0.5931),
 'Accuracy_train': 0.8208,
 'Accuracy_test': 0.6909,
 'F1_Class1_train': np.float64(0.6667),
 'F1_Class1_test': np.float64(0.2581),
 'F1_Class0_train': np.float64(0.8774),
 'F1_Class0_test': np.float64(0.8048),
 'Cross_Val_Score_train': np.float64(0.6718),
 'Cross_Val_Score_test': np.float64(0.6613)}

rank=10

rf = RandomForestClassifier()
grid_search = GridSearchCV(estimator=rf, param_grid=param_grid, scoring='accuracy', cv=5, n_jobs=-1)

# Splitting the data
X_train, X_test, y_train, y_test = train_test_split(X, y_dgf, test_size=0.2, random_state=42)
grid_search.fit(X_train, y_train)

# Access all the results
results = grid_search.cv_results_
sorted_indices = np.argsort(results['rank_test_score'])

# Get the rank-th best model
best_index = sorted_indices[rank-1]  # rank-1 because index starts from 0
best_params = {key: results['param_' + key][best_index] for key in param_grid}
print(f"Parameters for {rank} best model: {best_params}")

# Use the rank-th best model's parameters
best_rf = RandomForestClassifier(**best_params)
best_rf.fit(X_train, y_train)

# Predictions
y_train_pred = best_rf.predict(X_train)
y_test_pred = best_rf.predict(X_test)

# Metrics calculation and rounding
metrics = {
    'AUC_train': round(roc_auc_score(y_train, best_rf.predict_proba(X_train)[:,1]), 4),
    'AUC_test': round(roc_auc_score(y_test, best_rf.predict_proba(X_test)[:,1]), 4),
    'Accuracy_train': round(accuracy_score(y_train, y_train_pred), 4),
    'Accuracy_test': round(accuracy_score(y_test, y_test_pred), 4),
    'F1_Class1_train': round(f1_score(y_train, y_train_pred, pos_label=1), 4),
    'F1_Class1_test': round(f1_score(y_test, y_test_pred, pos_label=1), 4),
    'F1_Class0_train': round(f1_score(y_train, y_train_pred, pos_label=0), 4),
    'F1_Class0_test': round(f1_score(y_test, y_test_pred, pos_label=0), 4)
}

# Cross-validation scores
cross_val_train = round(np.mean(cross_val_score(best_rf, X_train, y_train, cv=5)), 4)
cross_val_test = round(np.mean(cross_val_score(best_rf, X_test, y_test, cv=5)), 4)

metrics['Cross_Val_Score_train'] = cross_val_train
metrics['Cross_Val_Score_test'] = cross_val_test

for rank in range(1,10):    
    # Get the rank-th best model
    best_index = sorted_indices[rank-1]  # rank-1 because index starts from 0
    best_params = {key: results['param_' + key][best_index] for key in param_grid}
    print(f"Parameters for {rank} best model: {best_params}")

    # Use the rank-th best model's parameters
    best_rf = RandomForestClassifier(**best_params)
    best_rf.fit(X_train, y_train)

    # Predictions
    y_train_pred = best_rf.predict(X_train)
    y_test_pred = best_rf.predict(X_test)

    # Metrics calculation and rounding
    metrics = {
        'AUC_train': round(roc_auc_score(y_train, best_rf.predict_proba(X_train)[:,1]), 4),
        'AUC_test': round(roc_auc_score(y_test, best_rf.predict_proba(X_test)[:,1]), 4),
        'Accuracy_train': round(accuracy_score(y_train, y_train_pred), 4),
        'Accuracy_test': round(accuracy_score(y_test, y_test_pred), 4),
        'F1_Class1_train': round(f1_score(y_train, y_train_pred, pos_label=1), 4),
        'F1_Class1_test': round(f1_score(y_test, y_test_pred, pos_label=1), 4),
        'F1_Class0_train': round(f1_score(y_train, y_train_pred, pos_label=0), 4),
        'F1_Class0_test': round(f1_score(y_test, y_test_pred, pos_label=0), 4)
    }

    # Cross-validation scores
    cross_val_train = round(np.mean(cross_val_score(best_rf, X_train, y_train, cv=5)), 4)
    cross_val_test = round(np.mean(cross_val_score(best_rf, X_test, y_test, cv=5)), 4)

    metrics['Cross_Val_Score_train'] = cross_val_train
    metrics['Cross_Val_Score_test'] = cross_val_test
    pprint.pprint(metrics)

Parameters for 1 best model: {'random_state': np.int64(2022), 'criterion': 'entropy', 'n_estimators': np.int64(50), 'max_depth': np.int64(8)}
{'AUC_test': np.float64(0.5875),
 'AUC_train': np.float64(0.9596),
 'Accuracy_test': 0.6962,
 'Accuracy_train': 0.8187,
 'Cross_Val_Score_test': np.float64(0.6587),
 'Cross_Val_Score_train': np.float64(0.6732),
 'F1_Class0_test': np.float64(0.8094),
 'F1_Class0_train': np.float64(0.8761),
 'F1_Class1_test': np.float64(0.2517),
 'F1_Class1_train': np.float64(0.6625)}
Parameters for 2 best model: {'random_state': np.int64(2022), 'criterion': 'log_loss', 'n_estimators': np.int64(50), 'max_depth': np.int64(8)}

{'AUC_test': np.float64(0.5875),
 'AUC_train': np.float64(0.9596),
 'Accuracy_test': 0.6962,
 'Accuracy_train': 0.8187,
 'Cross_Val_Score_test': np.float64(0.6587),
 'Cross_Val_Score_train': np.float64(0.6732),
 'F1_Class0_test': np.float64(0.8094),
 'F1_Class0_train': np.float64(0.8761),
 'F1_Class1_test': np.float64(0.2517),
 'F1_Class1_train': np.float64(0.6625)}
Parameters for 3 best model: {'random_state': np.int64(8888), 'criterion': 'log_loss', 'n_estimators': np.int64(100), 'max_depth': np.int64(8)}
{'AUC_test': np.float64(0.5931),
 'AUC_train': np.float64(0.9628),
 'Accuracy_test': 0.6909,
 'Accuracy_train': 0.8208,
 'Cross_Val_Score_test': np.float64(0.6613),
 'Cross_Val_Score_train': np.float64(0.6718),
 'F1_Class0_test': np.float64(0.8048),
 'F1_Class0_train': np.float64(0.8774),
 'F1_Class1_test': np.float64(0.2581),
 'F1_Class1_train': np.float64(0.6667)}
Parameters for 4 best model: {'random_state': np.int64(8888), 'criterion': 'entropy', 'n_estimators': np.int64(100), 'max_depth': np.int64(8)}
{'AUC_test': np.float64(0.5931),
 'AUC_train': np.float64(0.9628),
 'Accuracy_test': 0.6909,
 'Accuracy_train': 0.8208,
 'Cross_Val_Score_test': np.float64(0.6613),
 'Cross_Val_Score_train': np.float64(0.6718),
 'F1_Class0_test': np.float64(0.8048),
 'F1_Class0_train': np.float64(0.8774),
 'F1_Class1_test': np.float64(0.2581),
 'F1_Class1_train': np.float64(0.6667)}
Parameters for 5 best model: {'random_state': np.int64(777), 'criterion': 'entropy', 'n_estimators': np.int64(100), 'max_depth': np.int64(8)}
{'AUC_test': np.float64(0.5995),
 'AUC_train': np.float64(0.967),
 'Accuracy_test': 0.6801,
 'Accuracy_train': 0.8241,
 'Cross_Val_Score_test': np.float64(0.6774),
 'Cross_Val_Score_train': np.float64(0.6712),
 'F1_Class0_test': np.float64(0.7973),
 'F1_Class0_train': np.float64(0.8791),
 'F1_Class1_test': np.float64(0.242),
 'F1_Class1_train': np.float64(0.6774)}
Parameters for 6 best model: {'random_state': np.int64(777), 'criterion': 'log_loss', 'n_estimators': np.int64(100), 'max_depth': np.int64(8)}
{'AUC_test': np.float64(0.5995),
 'AUC_train': np.float64(0.967),
 'Accuracy_test': 0.6801,
 'Accuracy_train': 0.8241,
 'Cross_Val_Score_test': np.float64(0.6774),
 'Cross_Val_Score_train': np.float64(0.6712),
 'F1_Class0_test': np.float64(0.7973),
 'F1_Class0_train': np.float64(0.8791),
 'F1_Class1_test': np.float64(0.242),
 'F1_Class1_train': np.float64(0.6774)}
Parameters for 7 best model: {'random_state': np.int64(777), 'criterion': 'entropy', 'n_estimators': np.int64(50), 'max_depth': np.int64(8)}
{'AUC_test': np.float64(0.5996),
 'AUC_train': np.float64(0.958),
 'Accuracy_test': 0.6801,
 'Accuracy_train': 0.8275,
 'Cross_Val_Score_test': np.float64(0.6639),
 'Cross_Val_Score_train': np.float64(0.6705),
 'F1_Class0_test': np.float64(0.7959),
 'F1_Class0_train': np.float64(0.881),
 'F1_Class1_test': np.float64(0.2609),
 'F1_Class1_train': np.float64(0.6863)}
Parameters for 8 best model: {'random_state': np.int64(777), 'criterion': 'log_loss', 'n_estimators': np.int64(50), 'max_depth': np.int64(8)}
{'AUC_test': np.float64(0.5996),
 'AUC_train': np.float64(0.958),
 'Accuracy_test': 0.6801,
 'Accuracy_train': 0.8275,
 'Cross_Val_Score_test': np.float64(0.6639),
 'Cross_Val_Score_train': np.float64(0.6705),
 'F1_Class0_test': np.float64(0.7959),
 'F1_Class0_train': np.float64(0.881),
 'F1_Class1_test': np.float64(0.2609),
 'F1_Class1_train': np.float64(0.6863)}
Parameters for 9 best model: {'random_state': np.int64(32), 'criterion': 'gini', 'n_estimators': np.int64(200), 'max_depth': np.int64(8)}
{'AUC_test': np.float64(0.5791),
 'AUC_train': np.float64(0.9758),
 'Accuracy_test': 0.6801,
 'Accuracy_train': 0.8443,
 'Cross_Val_Score_test': np.float64(0.6587),
 'Cross_Val_Score_train': np.float64(0.6698),
 'F1_Class0_test': np.float64(0.798),
 'F1_Class0_train': np.float64(0.8916),
 'F1_Class1_test': np.float64(0.2323),
 'F1_Class1_train': np.float64(0.724)}

results_df = pd.DataFrame(results).sort_values(by='mean_test_score', ascending=False).reset_index(drop=True)

wanted_col = [col for col in results_df.columns if col.startswith("param_")] + ['mean_test_score', 'rank_test_score']

results_df.head(50)[wanted_col]

# Initialize an empty list to store the metrics for each model
metrics_list = []

for rank in range(1, 50):    
    # Get the rank-th best model
    best_index = sorted_indices[rank-1]  # rank-1 because index starts from 0
    best_params = {key: results['param_' + key][best_index] for key in param_grid}
    #print(f"Parameters for {rank} best model: {best_params}")

    # Use the rank-th best model's parameters
    best_rf = RandomForestClassifier(**best_params)
    best_rf.fit(X_train, y_train)

    # Predictions
    y_train_pred = best_rf.predict(X_train)
    y_test_pred = best_rf.predict(X_test)

    # Metrics calculation and rounding
    metrics = {
        'Model': rank,
        'AUC_train': round(roc_auc_score(y_train, best_rf.predict_proba(X_train)[:,1]), 4),
        'AUC_test': round(roc_auc_score(y_test, best_rf.predict_proba(X_test)[:,1]), 4),
        'Accuracy_train': round(accuracy_score(y_train, y_train_pred), 4),
        'Accuracy_test': round(accuracy_score(y_test, y_test_pred), 4),
        'F1_Class1_train': round(f1_score(y_train, y_train_pred, pos_label=1), 4),
        'F1_Class1_test': round(f1_score(y_test, y_test_pred, pos_label=1), 4),
        'F1_Class0_train': round(f1_score(y_train, y_train_pred, pos_label=0), 4),
        'F1_Class0_test': round(f1_score(y_test, y_test_pred, pos_label=0), 4)
    }

    # Cross-validation scores
    cross_val_train = round(np.mean(cross_val_score(best_rf, X_train, y_train, cv=5)), 4)
    cross_val_test = round(np.mean(cross_val_score(best_rf, X_test, y_test, cv=5)), 4)

    metrics['Cross_Val_Score_train'] = cross_val_train
    metrics['Cross_Val_Score_test'] = cross_val_test
    
    # Append the metrics to the list
    metrics_list.append(metrics)

# Create DataFrame
metrics_df = pd.DataFrame(metrics_list)

metrics_rf_dgf_without_crr = metrics_df.sort_values(by=['AUC_test'], ascending=False).reset_index(drop=True)

metrics_rf_dgf_without_crr

results_df.loc[31,]['params']

{'criterion': 'entropy',
 'max_depth': 8,
 'n_estimators': 150,
 'random_state': 100}

sorted_indices[31]

np.int64(366)

# Random states, criterion, n_estimators, max_depth to search
param_grid = {
    'random_state': [32, 100, 777, 2022, 8888],
    'criterion': ['gini', 'entropy', 'log_loss'],
    'n_estimators': [8, 16, 50, 100, 150, 200],
    'max_depth': [2, 4, 8, 16, 32]
}

def run_grid_search(X, y):
    # Set up the Random Forest Classifier and GridSearchCV
    rf = RandomForestClassifier()
    grid_search = GridSearchCV(estimator=rf, param_grid=param_grid, scoring='roc_auc', cv=5, n_jobs=-1, return_train_score=True)
    
    # Splitting the data
    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
    grid_search.fit(X_train, y_train)
    
    # Access all the results
    results = pd.DataFrame(grid_search.cv_results_)
    
    # Sort the models by test AUC score
    results = results.sort_values(by='mean_test_score', ascending=False)
    
    # Get top N models by AUC score
    top_models = results
    
    top_models_metrics = []
    
    for i, row in top_models.iterrows():
        params = {key: row['param_' + key] for key in param_grid}
        #print(f"Parameters for model {i+1}: {params}")
        
        # Re-train the model with the top parameters
        model = RandomForestClassifier(**params)
        model.fit(X_train, y_train)
        
        # Predictions
        y_train_pred = model.predict(X_train)
        y_test_pred = model.predict(X_test)
        
        # Metrics calculation
        metrics = {
            'model_rank': i + 1,
            'AUC_train': round(roc_auc_score(y_train, model.predict_proba(X_train)[:, 1]), 4),
            'AUC_test': round(roc_auc_score(y_test, model.predict_proba(X_test)[:, 1]), 4),
            'Accuracy_train': round(accuracy_score(y_train, y_train_pred), 4),
            'Accuracy_test': round(accuracy_score(y_test, y_test_pred), 4),
            'F1_Class1_train': round(f1_score(y_train, y_train_pred, pos_label=1), 4),
            'F1_Class1_test': round(f1_score(y_test, y_test_pred, pos_label=1), 4),
            'F1_Class0_train': round(f1_score(y_train, y_train_pred, pos_label=0), 4),
            'F1_Class0_test': round(f1_score(y_test, y_test_pred, pos_label=0), 4),
            'params': params
        }
        
        top_models_metrics.append(metrics)
    
    return pd.DataFrame(top_models_metrics), model, X_train, X_test, y_train, y_test

run_grid_search(X,y_crr2_lt30)

Best parameters: {'criterion': 'entropy', 'max_depth': 8, 'n_estimators': 100, 'random_state': 8888}

{'AUC_train': np.float64(0.9523124112988142),
 'AUC_test': np.float64(0.628767942583732),
 'Accuracy_train': 0.8679245283018868,
 'Accuracy_test': 0.6102150537634409,
 'F1_Class1_train': np.float64(0.8473520249221184),
 'F1_Class1_test': np.float64(0.5017182130584192),
 'F1_Class2_train': np.float64(0.8836104513064132),
 'F1_Class2_test': np.float64(0.6799116997792495),
 'Cross_Val_Score': np.float64(0.5909545909545909)}

run_grid_search(X,y_crr2_lt30)

/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/numpy/ma/core.py:2881: RuntimeWarning: invalid value encountered in cast
  _data = np.array(data, dtype=dtype, copy=copy,

Best parameters: {'criterion': 'entropy', 'max_depth': 8, 'n_estimators': 100, 'random_state': 8888}

{'AUC_train': np.float64(0.9523),
 'AUC_test': np.float64(0.6288),
 'Accuracy_train': 0.8679,
 'Accuracy_test': 0.6102,
 'F1_Class1_train': np.float64(0.8474),
 'F1_Class1_test': np.float64(0.5017),
 'F1_Class0_train': np.float64(0.8836),
 'F1_Class0_test': np.float64(0.6799),
 'Cross_Val_Score_train': np.float64(0.591),
 'Cross_Val_Score_test': np.float64(0.5831)}

rf = RandomForestClassifier()
grid_search = GridSearchCV(estimator=rf, param_grid=param_grid, scoring='accuracy', cv=5, n_jobs=-1)

# Splitting the data
X_train, X_test, y_train, y_test = train_test_split(X, y_crr2_lt30, test_size=0.2, random_state=42)
grid_search.fit(X_train, y_train)

# Access all the results
results = grid_search.cv_results_
sorted_indices = np.argsort(results['rank_test_score'])

# Get the rank-th best model
best_index = sorted_indices[rank-1]  # rank-1 because index starts from 0
best_params = {key: results['param_' + key][best_index] for key in param_grid}
print(f"Parameters for {rank} best model: {best_params}")

# Use the rank-th best model's parameters
best_rf = RandomForestClassifier(**best_params)
best_rf.fit(X_train, y_train)

# Predictions
y_train_pred = best_rf.predict(X_train)
y_test_pred = best_rf.predict(X_test)

# Metrics calculation and rounding
metrics = {
    'AUC_train': round(roc_auc_score(y_train, best_rf.predict_proba(X_train)[:,1]), 4),
    'AUC_test': round(roc_auc_score(y_test, best_rf.predict_proba(X_test)[:,1]), 4),
    'Accuracy_train': round(accuracy_score(y_train, y_train_pred), 4),
    'Accuracy_test': round(accuracy_score(y_test, y_test_pred), 4),
    'F1_Class1_train': round(f1_score(y_train, y_train_pred, pos_label=1), 4),
    'F1_Class1_test': round(f1_score(y_test, y_test_pred, pos_label=1), 4),
    'F1_Class0_train': round(f1_score(y_train, y_train_pred, pos_label=0), 4),
    'F1_Class0_test': round(f1_score(y_test, y_test_pred, pos_label=0), 4)
}

# Cross-validation scores
cross_val_train = round(np.mean(cross_val_score(best_rf, X_train, y_train, cv=5)), 4)
cross_val_test = round(np.mean(cross_val_score(best_rf, X_test, y_test, cv=5)), 4)

metrics['Cross_Val_Score_train'] = cross_val_train
metrics['Cross_Val_Score_test'] = cross_val_test

/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/numpy/ma/core.py:2881: RuntimeWarning: invalid value encountered in cast
  _data = np.array(data, dtype=dtype, copy=copy,

Parameters for 49 best model: {'random_state': np.int64(8888), 'criterion': 'gini', 'n_estimators': np.int64(100), 'max_depth': np.int64(4)}

for rank in range(1,10):    
    # Get the rank-th best model
    best_index = sorted_indices[rank-1]  # rank-1 because index starts from 0
    best_params = {key: results['param_' + key][best_index] for key in param_grid}
    print(f"Parameters for {rank} best model: {best_params}")

    # Use the rank-th best model's parameters
    best_rf = RandomForestClassifier(**best_params)
    best_rf.fit(X_train, y_train)

    # Predictions
    y_train_pred = best_rf.predict(X_train)
    y_test_pred = best_rf.predict(X_test)

    # Metrics calculation and rounding
    metrics = {
        'AUC_train': round(roc_auc_score(y_train, best_rf.predict_proba(X_train)[:,1]), 4),
        'AUC_test': round(roc_auc_score(y_test, best_rf.predict_proba(X_test)[:,1]), 4),
        'Accuracy_train': round(accuracy_score(y_train, y_train_pred), 4),
        'Accuracy_test': round(accuracy_score(y_test, y_test_pred), 4),
        'F1_Class1_train': round(f1_score(y_train, y_train_pred, pos_label=1), 4),
        'F1_Class1_test': round(f1_score(y_test, y_test_pred, pos_label=1), 4),
        'F1_Class0_train': round(f1_score(y_train, y_train_pred, pos_label=0), 4),
        'F1_Class0_test': round(f1_score(y_test, y_test_pred, pos_label=0), 4)
    }

    # Cross-validation scores
    cross_val_train = round(np.mean(cross_val_score(best_rf, X_train, y_train, cv=5)), 4)
    cross_val_test = round(np.mean(cross_val_score(best_rf, X_test, y_test, cv=5)), 4)

    metrics['Cross_Val_Score_train'] = cross_val_train
    metrics['Cross_Val_Score_test'] = cross_val_test
    pprint.pprint(metrics)

Parameters for 1 best model: {'random_state': np.int64(8888), 'criterion': 'log_loss', 'n_estimators': np.int64(100), 'max_depth': np.int64(8)}
{'AUC_test': np.float64(0.6288),
 'AUC_train': np.float64(0.9523),
 'Accuracy_test': 0.6102,
 'Accuracy_train': 0.8679,
 'Cross_Val_Score_test': np.float64(0.5831),
 'Cross_Val_Score_train': np.float64(0.591),
 'F1_Class0_test': np.float64(0.6799),
 'F1_Class0_train': np.float64(0.8836),
 'F1_Class1_test': np.float64(0.5017),
 'F1_Class1_train': np.float64(0.8474)}
Parameters for 2 best model: {'random_state': np.int64(8888), 'criterion': 'entropy', 'n_estimators': np.int64(100), 'max_depth': np.int64(8)}
{'AUC_test': np.float64(0.6288),
 'AUC_train': np.float64(0.9523),
 'Accuracy_test': 0.6102,
 'Accuracy_train': 0.8679,
 'Cross_Val_Score_test': np.float64(0.5831),
 'Cross_Val_Score_train': np.float64(0.591),
 'F1_Class0_test': np.float64(0.6799),
 'F1_Class0_train': np.float64(0.8836),
 'F1_Class1_test': np.float64(0.5017),
 'F1_Class1_train': np.float64(0.8474)}
Parameters for 3 best model: {'random_state': np.int64(32), 'criterion': 'entropy', 'n_estimators': np.int64(150), 'max_depth': np.int64(4)}
{'AUC_test': np.float64(0.62),
 'AUC_train': np.float64(0.7603),
 'Accuracy_test': 0.5995,
 'Accuracy_train': 0.6698,
 'Cross_Val_Score_test': np.float64(0.6021),
 'Cross_Val_Score_train': np.float64(0.5903),
 'F1_Class0_test': np.float64(0.6902),
 'F1_Class0_train': np.float64(0.7363),
 'F1_Class1_test': np.float64(0.4335),
 'F1_Class1_train': np.float64(0.5586)}
Parameters for 4 best model: {'random_state': np.int64(32), 'criterion': 'log_loss', 'n_estimators': np.int64(150), 'max_depth': np.int64(4)}
{'AUC_test': np.float64(0.62),
 'AUC_train': np.float64(0.7603),
 'Accuracy_test': 0.5995,
 'Accuracy_train': 0.6698,
 'Cross_Val_Score_test': np.float64(0.6021),
 'Cross_Val_Score_train': np.float64(0.5903),
 'F1_Class0_test': np.float64(0.6902),
 'F1_Class0_train': np.float64(0.7363),
 'F1_Class1_test': np.float64(0.4335),
 'F1_Class1_train': np.float64(0.5586)}
Parameters for 5 best model: {'random_state': np.int64(8888), 'criterion': 'log_loss', 'n_estimators': np.int64(50), 'max_depth': np.int64(4)}
{'AUC_test': np.float64(0.6062),
 'AUC_train': np.float64(0.7509),
 'Accuracy_test': 0.6022,
 'Accuracy_train': 0.6536,
 'Cross_Val_Score_test': np.float64(0.5914),
 'Cross_Val_Score_train': np.float64(0.5896),
 'F1_Class0_test': np.float64(0.6929),
 'F1_Class0_train': np.float64(0.7272),
 'F1_Class1_test': np.float64(0.4351),
 'F1_Class1_train': np.float64(0.5258)}
Parameters for 6 best model: {'random_state': np.int64(8888), 'criterion': 'entropy', 'n_estimators': np.int64(50), 'max_depth': np.int64(4)}
{'AUC_test': np.float64(0.6062),
 'AUC_train': np.float64(0.7509),
 'Accuracy_test': 0.6022,
 'Accuracy_train': 0.6536,
 'Cross_Val_Score_test': np.float64(0.5914),
 'Cross_Val_Score_train': np.float64(0.5896),
 'F1_Class0_test': np.float64(0.6929),
 'F1_Class0_train': np.float64(0.7272),
 'F1_Class1_test': np.float64(0.4351),
 'F1_Class1_train': np.float64(0.5258)}
Parameters for 7 best model: {'random_state': np.int64(777), 'criterion': 'gini', 'n_estimators': np.int64(16), 'max_depth': np.int64(4)}
{'AUC_test': np.float64(0.6252),
 'AUC_train': np.float64(0.7416),
 'Accuracy_test': 0.6022,
 'Accuracy_train': 0.6577,
 'Cross_Val_Score_test': np.float64(0.5968),
 'Cross_Val_Score_train': np.float64(0.5876),
 'F1_Class0_test': np.float64(0.6955),
 'F1_Class0_train': np.float64(0.7321),
 'F1_Class1_test': np.float64(0.4264),
 'F1_Class1_train': np.float64(0.5261)}
Parameters for 8 best model: {'random_state': np.int64(8888), 'criterion': 'log_loss', 'n_estimators': np.int64(200), 'max_depth': np.int64(8)}
{'AUC_test': np.float64(0.6303),
 'AUC_train': np.float64(0.9533),
 'Accuracy_test': 0.6022,
 'Accuracy_train': 0.8699,
 'Cross_Val_Score_test': np.float64(0.5752),
 'Cross_Val_Score_train': np.float64(0.5876),
 'F1_Class0_test': np.float64(0.6769),
 'F1_Class0_train': np.float64(0.8855),
 'F1_Class1_test': np.float64(0.4825),
 'F1_Class1_train': np.float64(0.8496)}
Parameters for 9 best model: {'random_state': np.int64(8888), 'criterion': 'entropy', 'n_estimators': np.int64(200), 'max_depth': np.int64(8)}
{'AUC_test': np.float64(0.6303),
 'AUC_train': np.float64(0.9533),
 'Accuracy_test': 0.6022,
 'Accuracy_train': 0.8699,
 'Cross_Val_Score_test': np.float64(0.5752),
 'Cross_Val_Score_train': np.float64(0.5876),
 'F1_Class0_test': np.float64(0.6769),
 'F1_Class0_train': np.float64(0.8855),
 'F1_Class1_test': np.float64(0.4825),
 'F1_Class1_train': np.float64(0.8496)}

results_df = pd.DataFrame(results).sort_values(by='mean_test_score', ascending=False).reset_index(drop=True)

wanted_col = [col for col in results_df.columns if col.startswith("param_")] + ['mean_test_score', 'rank_test_score']

results_df.head(50)[wanted_col]

# Initialize an empty list to store the metrics for each model
metrics_list = []

for rank in range(1, 50):    
    # Get the rank-th best model
    best_index = sorted_indices[rank-1]  # rank-1 because index starts from 0
    best_params = {key: results['param_' + key][best_index] for key in param_grid}
    #print(f"Parameters for {rank} best model: {best_params}")

    # Use the rank-th best model's parameters
    best_rf = RandomForestClassifier(**best_params)
    best_rf.fit(X_train, y_train)

    # Predictions
    y_train_pred = best_rf.predict(X_train)
    y_test_pred = best_rf.predict(X_test)

    # Metrics calculation and rounding
    metrics = {
        'Model': rank,
        'AUC_train': round(roc_auc_score(y_train, best_rf.predict_proba(X_train)[:,1]), 4),
        'AUC_test': round(roc_auc_score(y_test, best_rf.predict_proba(X_test)[:,1]), 4),
        'Accuracy_train': round(accuracy_score(y_train, y_train_pred), 4),
        'Accuracy_test': round(accuracy_score(y_test, y_test_pred), 4),
        'F1_Class1_train': round(f1_score(y_train, y_train_pred, pos_label=1), 4),
        'F1_Class1_test': round(f1_score(y_test, y_test_pred, pos_label=1), 4),
        'F1_Class0_train': round(f1_score(y_train, y_train_pred, pos_label=0), 4),
        'F1_Class0_test': round(f1_score(y_test, y_test_pred, pos_label=0), 4)
    }

    # Cross-validation scores
    cross_val_train = round(np.mean(cross_val_score(best_rf, X_train, y_train, cv=5)), 4)
    cross_val_test = round(np.mean(cross_val_score(best_rf, X_test, y_test, cv=5)), 4)

    metrics['Cross_Val_Score_train'] = cross_val_train
    metrics['Cross_Val_Score_test'] = cross_val_test
    
    # Append the metrics to the list
    metrics_list.append(metrics)

# Create DataFrame
metrics_df = pd.DataFrame(metrics_list)

metrics_df = metrics_df.drop(columns=['Model'])

metrics_df

from sklearn.ensemble import RandomForestClassifier

model_evaluation(RandomForestClassifier(random_state=42), X, y_dgf)

Model: RandomForestClassifier(random_state=42)
Accuracy: 0.7231
AUC: 0.7340
F1 Score (Class 1): 0.5072
F1 Score (Class 2): 0.8075
Average Cross-validation Score: 0.6983

run_grid_search(X,y_dgf)

Best parameters: {'criterion': 'entropy', 'max_depth': 16, 'n_estimators': 150, 'random_state': 100}

{'AUC_train': np.float64(0.9999999999999999),
 'AUC_test': np.float64(0.7387868852459015),
 'Accuracy_train': 1.0,
 'Accuracy_test': 0.6935483870967742,
 'F1_Class1_train': np.float64(1.0),
 'F1_Class1_test': np.float64(0.44660194174757284),
 'F1_Class2_train': np.float64(1.0),
 'F1_Class2_test': np.float64(0.7881040892193308),
 'Cross_Val_Score': np.float64(0.7163140413140414)}

run_grid_search(X, y_dgf)

/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/numpy/ma/core.py:2881: RuntimeWarning: invalid value encountered in cast
  _data = np.array(data, dtype=dtype, copy=copy,

Parameters for 1 best model: {'random_state': np.int64(100), 'criterion': 'log_loss', 'n_estimators': np.int64(150), 'max_depth': np.int64(16)}

{'AUC_train': np.float64(1.0),
 'AUC_test': np.float64(0.7388),
 'Accuracy_train': 1.0,
 'Accuracy_test': 0.6935,
 'F1_Class1_train': np.float64(1.0),
 'F1_Class1_test': np.float64(0.4466),
 'F1_Class0_train': np.float64(1.0),
 'F1_Class0_test': np.float64(0.7881),
 'Cross_Val_Score_train': np.float64(0.7163),
 'Cross_Val_Score_test': np.float64(0.6799)}

rf = RandomForestClassifier()
grid_search = GridSearchCV(estimator=rf, param_grid=param_grid, scoring='accuracy', cv=5, n_jobs=-1)

# Splitting the data
X_train, X_test, y_train, y_test = train_test_split(X, y_dgf, test_size=0.2, random_state=42)
grid_search.fit(X_train, y_train)

# Access all the results
results = grid_search.cv_results_
sorted_indices = np.argsort(results['rank_test_score'])

# Get the rank-th best model
best_index = sorted_indices[rank-1]  # rank-1 because index starts from 0
best_params = {key: results['param_' + key][best_index] for key in param_grid}
print(f"Parameters for {rank} best model: {best_params}")

# Use the rank-th best model's parameters
best_rf = RandomForestClassifier(**best_params)
best_rf.fit(X_train, y_train)

# Predictions
y_train_pred = best_rf.predict(X_train)
y_test_pred = best_rf.predict(X_test)

# Metrics calculation and rounding
metrics = {
    'AUC_train': round(roc_auc_score(y_train, best_rf.predict_proba(X_train)[:,1]), 4),
    'AUC_test': round(roc_auc_score(y_test, best_rf.predict_proba(X_test)[:,1]), 4),
    'Accuracy_train': round(accuracy_score(y_train, y_train_pred), 4),
    'Accuracy_test': round(accuracy_score(y_test, y_test_pred), 4),
    'F1_Class1_train': round(f1_score(y_train, y_train_pred, pos_label=1), 4),
    'F1_Class1_test': round(f1_score(y_test, y_test_pred, pos_label=1), 4),
    'F1_Class0_train': round(f1_score(y_train, y_train_pred, pos_label=0), 4),
    'F1_Class0_test': round(f1_score(y_test, y_test_pred, pos_label=0), 4)
}

# Cross-validation scores
cross_val_train = round(np.mean(cross_val_score(best_rf, X_train, y_train, cv=5)), 4)
cross_val_test = round(np.mean(cross_val_score(best_rf, X_test, y_test, cv=5)), 4)

metrics['Cross_Val_Score_train'] = cross_val_train
metrics['Cross_Val_Score_test'] = cross_val_test

/home/oneai/DGF-AI-Analysis/DGF_lib/lib/python3.10/site-packages/numpy/ma/core.py:2881: RuntimeWarning: invalid value encountered in cast
  _data = np.array(data, dtype=dtype, copy=copy,

Parameters for 49 best model: {'random_state': np.int64(32), 'criterion': 'gini', 'n_estimators': np.int64(150), 'max_depth': np.int64(8)}

for rank in range(1,10):    
    # Get the rank-th best model
    best_index = sorted_indices[rank-1]  # rank-1 because index starts from 0
    best_params = {key: results['param_' + key][best_index] for key in param_grid}
    print(f"Parameters for {rank} best model: {best_params}")

    # Use the rank-th best model's parameters
    best_rf = RandomForestClassifier(**best_params)
    best_rf.fit(X_train, y_train)

    # Predictions
    y_train_pred = best_rf.predict(X_train)
    y_test_pred = best_rf.predict(X_test)

    # Metrics calculation and rounding
    metrics = {
        'AUC_train': round(roc_auc_score(y_train, best_rf.predict_proba(X_train)[:,1]), 4),
        'AUC_test': round(roc_auc_score(y_test, best_rf.predict_proba(X_test)[:,1]), 4),
        'Accuracy_train': round(accuracy_score(y_train, y_train_pred), 4),
        'Accuracy_test': round(accuracy_score(y_test, y_test_pred), 4),
        'F1_Class1_train': round(f1_score(y_train, y_train_pred, pos_label=1), 4),
        'F1_Class1_test': round(f1_score(y_test, y_test_pred, pos_label=1), 4),
        'F1_Class0_train': round(f1_score(y_train, y_train_pred, pos_label=0), 4),
        'F1_Class0_test': round(f1_score(y_test, y_test_pred, pos_label=0), 4)
    }

    # Cross-validation scores
    cross_val_train = round(np.mean(cross_val_score(best_rf, X_train, y_train, cv=5)), 4)
    cross_val_test = round(np.mean(cross_val_score(best_rf, X_test, y_test, cv=5)), 4)

    metrics['Cross_Val_Score_train'] = cross_val_train
    metrics['Cross_Val_Score_test'] = cross_val_test
    pprint.pprint(metrics)

Parameters for 1 best model: {'random_state': np.int64(100), 'criterion': 'log_loss', 'n_estimators': np.int64(150), 'max_depth': np.int64(16)}
{'AUC_test': np.float64(0.7388),
 'AUC_train': np.float64(1.0),
 'Accuracy_test': 0.6935,
 'Accuracy_train': 1.0,
 'Cross_Val_Score_test': np.float64(0.6799),
 'Cross_Val_Score_train': np.float64(0.7163),
 'F1_Class0_test': np.float64(0.7881),
 'F1_Class0_train': np.float64(1.0),
 'F1_Class1_test': np.float64(0.4466),
 'F1_Class1_train': np.float64(1.0)}
Parameters for 2 best model: {'random_state': np.int64(100), 'criterion': 'entropy', 'n_estimators': np.int64(150), 'max_depth': np.int64(16)}
{'AUC_test': np.float64(0.7388),
 'AUC_train': np.float64(1.0),
 'Accuracy_test': 0.6935,
 'Accuracy_train': 1.0,
 'Cross_Val_Score_test': np.float64(0.6799),
 'Cross_Val_Score_train': np.float64(0.7163),
 'F1_Class0_test': np.float64(0.7881),
 'F1_Class0_train': np.float64(1.0),
 'F1_Class1_test': np.float64(0.4466),
 'F1_Class1_train': np.float64(1.0)}
Parameters for 3 best model: {'random_state': np.int64(8888), 'criterion': 'entropy', 'n_estimators': np.int64(150), 'max_depth': np.int64(16)}
{'AUC_test': np.float64(0.751),
 'AUC_train': np.float64(1.0),
 'Accuracy_test': 0.7151,
 'Accuracy_train': 1.0,
 'Cross_Val_Score_test': np.float64(0.6961),
 'Cross_Val_Score_train': np.float64(0.7156),
 'F1_Class0_test': np.float64(0.8037),
 'F1_Class0_train': np.float64(1.0),
 'F1_Class1_test': np.float64(0.4804),
 'F1_Class1_train': np.float64(1.0)}
Parameters for 4 best model: {'random_state': np.int64(8888), 'criterion': 'log_loss', 'n_estimators': np.int64(150), 'max_depth': np.int64(16)}
{'AUC_test': np.float64(0.751),
 'AUC_train': np.float64(1.0),
 'Accuracy_test': 0.7151,
 'Accuracy_train': 1.0,
 'Cross_Val_Score_test': np.float64(0.6961),
 'Cross_Val_Score_train': np.float64(0.7156),
 'F1_Class0_test': np.float64(0.8037),
 'F1_Class0_train': np.float64(1.0),
 'F1_Class1_test': np.float64(0.4804),
 'F1_Class1_train': np.float64(1.0)}
Parameters for 5 best model: {'random_state': np.int64(2022), 'criterion': 'log_loss', 'n_estimators': np.int64(100), 'max_depth': np.int64(32)}
{'AUC_test': np.float64(0.7337),
 'AUC_train': np.float64(1.0),
 'Accuracy_test': 0.7097,
 'Accuracy_train': 1.0,
 'Cross_Val_Score_test': np.float64(0.6854),
 'Cross_Val_Score_train': np.float64(0.7143),
 'F1_Class0_test': np.float64(0.7993),
 'F1_Class0_train': np.float64(1.0),
 'F1_Class1_test': np.float64(0.4757),
 'F1_Class1_train': np.float64(1.0)}
Parameters for 6 best model: {'random_state': np.int64(2022), 'criterion': 'entropy', 'n_estimators': np.int64(100), 'max_depth': np.int64(32)}
{'AUC_test': np.float64(0.7337),
 'AUC_train': np.float64(1.0),
 'Accuracy_test': 0.7097,
 'Accuracy_train': 1.0,
 'Cross_Val_Score_test': np.float64(0.6854),
 'Cross_Val_Score_train': np.float64(0.7143),
 'F1_Class0_test': np.float64(0.7993),
 'F1_Class0_train': np.float64(1.0),
 'F1_Class1_test': np.float64(0.4757),
 'F1_Class1_train': np.float64(1.0)}
Parameters for 7 best model: {'random_state': np.int64(2022), 'criterion': 'log_loss', 'n_estimators': np.int64(16), 'max_depth': np.int64(8)}
{'AUC_test': np.float64(0.7334),
 'AUC_train': np.float64(0.9503),
 'Accuracy_test': 0.7231,
 'Accuracy_train': 0.8619,
 'Cross_Val_Score_test': np.float64(0.6692),
 'Cross_Val_Score_train': np.float64(0.7136),
 'F1_Class0_test': np.float64(0.811),
 'F1_Class0_train': np.float64(0.8995),
 'F1_Class1_test': np.float64(0.4824),
 'F1_Class1_train': np.float64(0.7793)}
Parameters for 8 best model: {'random_state': np.int64(2022), 'criterion': 'entropy', 'n_estimators': np.int64(16), 'max_depth': np.int64(8)}
{'AUC_test': np.float64(0.7334),
 'AUC_train': np.float64(0.9503),
 'Accuracy_test': 0.7231,
 'Accuracy_train': 0.8619,
 'Cross_Val_Score_test': np.float64(0.6692),
 'Cross_Val_Score_train': np.float64(0.7136),
 'F1_Class0_test': np.float64(0.811),
 'F1_Class0_train': np.float64(0.8995),
 'F1_Class1_test': np.float64(0.4824),
 'F1_Class1_train': np.float64(0.7793)}
Parameters for 9 best model: {'random_state': np.int64(2022), 'criterion': 'entropy', 'n_estimators': np.int64(150), 'max_depth': np.int64(8)}
{'AUC_test': np.float64(0.7586),
 'AUC_train': np.float64(0.9631),
 'Accuracy_test': 0.7204,
 'Accuracy_train': 0.8767,
 'Cross_Val_Score_test': np.float64(0.6935),
 'Cross_Val_Score_train': np.float64(0.7123),
 'F1_Class0_test': np.float64(0.8109),
 'F1_Class0_train': np.float64(0.9114),
 'F1_Class1_test': np.float64(0.4639),
 'F1_Class1_train': np.float64(0.7973)}

results_df = pd.DataFrame(results).sort_values(by='mean_test_score', ascending=False).reset_index(drop=True)

wanted_col = [col for col in results_df.columns if col.startswith("param_")] + ['mean_test_score', 'rank_test_score']

results_df.head(50)[wanted_col]

# Initialize an empty list to store the metrics for each model
metrics_list = []

for rank in range(1, 50):    
    # Get the rank-th best model
    best_index = sorted_indices[rank-1]  # rank-1 because index starts from 0
    best_params = {key: results['param_' + key][best_index] for key in param_grid}
    #print(f"Parameters for {rank} best model: {best_params}")

    # Use the rank-th best model's parameters
    best_rf = RandomForestClassifier(**best_params)
    best_rf.fit(X_train, y_train)

    # Predictions
    y_train_pred = best_rf.predict(X_train)
    y_test_pred = best_rf.predict(X_test)

    # Metrics calculation and rounding
    metrics = {
        'Model': rank,
        'AUC_train': round(roc_auc_score(y_train, best_rf.predict_proba(X_train)[:,1]), 4),
        'AUC_test': round(roc_auc_score(y_test, best_rf.predict_proba(X_test)[:,1]), 4),
        'Accuracy_train': round(accuracy_score(y_train, y_train_pred), 4),
        'Accuracy_test': round(accuracy_score(y_test, y_test_pred), 4),
        'F1_Class1_train': round(f1_score(y_train, y_train_pred, pos_label=1), 4),
        'F1_Class1_test': round(f1_score(y_test, y_test_pred, pos_label=1), 4),
        'F1_Class0_train': round(f1_score(y_train, y_train_pred, pos_label=0), 4),
        'F1_Class0_test': round(f1_score(y_test, y_test_pred, pos_label=0), 4)
    }

    # Cross-validation scores
    cross_val_train = round(np.mean(cross_val_score(best_rf, X_train, y_train, cv=5)), 4)
    cross_val_test = round(np.mean(cross_val_score(best_rf, X_test, y_test, cv=5)), 4)

    metrics['Cross_Val_Score_train'] = cross_val_train
    metrics['Cross_Val_Score_test'] = cross_val_test
    
    # Append the metrics to the list
    metrics_list.append(metrics)

# Create DataFrame
metrics_df = pd.DataFrame(metrics_list)

metrics_df = metrics_df.drop(columns=['Model'])

metrics_df

from sklearn.ensemble import RandomForestClassifier

model_evaluation(RandomForestClassifier(random_state=42), X, y_crr2_lt30)

Model: RandomForestClassifier(random_state=42)
Accuracy: 0.9946
AUC: 0.9999
F1 Score (Class 1): 0.9934
F1 Score (Class 2): 0.9955
Average Cross-validation Score: 0.9957

Variable Name	Label	Note
`study_id`	Study ID
`txdate`	Date of transplant (yyyy-mm-dd)
`dgf`	Delayed graft function (Yes vs. No)
`crr2`	Creatinine reduction ratio
`crr2_lt30`	Creatinine reduction ratio (<=30% vs. >30%)
`rage`	Recipient age (years)
`rsex`	Recipient sex (Male vs. Female)
`rwhite`	Recipient race (White vs. Non-White)
`rbmi`	Recipient BMI (kg/m²)
`tdialyr`	Time on dialysis before transplant (years)
`pkpracat0`	Peak PRA (=0% vs. >0%)
`num_comorb`	Number of comorbidities	The comorbidities include recipient history of diabetes mellitus, coronary heart disease, congestive heart failure, stroke, peripheral vascular disease, chronic lung disease, skin cancer, non-skin cancer.
`rhist_dm`	Recipient history of diabetes mellitus (Yes vs. No)
`rhist_chd`	Recipient history of coronary heart disease (Yes vs. No)
`rhist_chf`	Recipient history of congestive heart failure (Yes vs. No)
`rhist_stroke`	Recipient history of stroke (Yes vs. No)
`rhist_pvd`	Recipient history of peripheral vascular disease (Yes vs. No)
`rhist_cld`	Recipient history of chronic lung disease (Yes vs. No)
`rhist_skin_cancer`	Recipient history of skin cancer (Yes vs. No)
`rhist_non_skin_cancer`	Recipient history of non-skin cancer (Yes vs. No)
`dage`	Donor age (years)
`dsex`	Donor sex (Male vs. Female)
`dtype`	Donor type (Deceased)
`dbmi`	Donor BMI (kg/m²)
`ddeathcause_cva`	Stroke or cerebrovascular accident as donor cause of death
`cit`	Cold ischemic time (hours)
`ecd`	Expanded criteria donors (ECD) status
`dcd`	Death by circulatory criteria donor (DCCD) status
`regraft`	Re-graft (0=No, 1=Yes)
`inductype`	Induction type (Depleting agent vs. Non-depleting agent)
`cni_disch`	CNI type at discharge (Tacrolimus vs. Cyclosporine)
`txera`	Transplant era
`statusdt_censored`	Recipient vital status date (yyyy-mm-dd)
`status`	Recipient vital status
`bpar`	Biopsy-proven acute rejection (0=No, 1=Yes)
`first_bpardt`	First biopsy-proven acute rejection date (yyyy-mm-dd)
`first_re_admdt`	Recipient first re-admission date after transplant discharge (yyyy-mm-dd)

	crr2_cluster	DGF_yes_ratio
0	-40 to -30	0.846154
1	-30 to -20	0.757576
2	-20 to -10	0.740741
3	-10 to 0	0.568182
4	0 to 10	0.470339
5	10 to 20	0.406542
6	20 to 30	0.366812
7	30 to 40	0.277193
8	40 to 50	0.234234
9	50 to 60	0.092486
10	60 to 70	0.056075

	status	DGF_yes_ratio
0	Alive with a functioning kidney	0.310886
1	Death	0.375783
2	Graft Failure	0.462585

	days_to_readmission_bin	DGF_yes_ratio
0	0-20	0.270000
1	20-40	0.436842
2	40-60	0.411765
3	60-80	0.285714
4	80-100	0.479167

	status	mean	median	count
0	Alive with a functioning kidney	2762.687269	2333.5	1084
1	Death	2427.275574	2203.0	479
2	Graft Failure	2299.547619	1934.0	294

	cit_cluster	DGF_yes_ratio
0	5-10	0.319728
1	10-15	0.324111
2	15-20	0.417355
3	20-30	0.436782
4	30-35	0.600000

	txera	DGF_yes_ratio
0	Txyr 2000-2008	0.392241
1	Txyr 2009-2015	0.356897
2	Txyr 2016-May2022	0.324723

	status	dgf	mean	median	count
0	Alive with a functioning kidney	No	2736.728246	2308.0	747
1	Alive with a functioning kidney	Yes	2820.228487	2370.0	337
2	Death	No	2564.528428	2481.0	299
3	Death	Yes	2199.283333	1986.5	180
4	Graft Failure	No	2721.196203	2434.0	158
5	Graft Failure	Yes	1809.691176	1335.5	136

	Missing Count	Percentage
dgf	0	0.00
crr2	17	0.92
crr2_lt30	17	0.92
rage	0	0.00
rsex	0	0.00
rwhite	429	23.10
rbmi	95	5.12
tdialyr	6	0.32
pkpracat0	213	11.47
rhist_dm	9	0.48
rhist_chd	7	0.38
rhist_chf	10	0.54
rhist_stroke	8	0.43
rhist_pvd	7	0.38
rhist_cld	10	0.54
rhist_skin_cancer	6	0.32
rhist_non_skin_cancer	7	0.38
dage	4	0.22
dsex	9	0.48
dbmi	26	1.40
ddeathcause_cva	52	2.80
cit	338	18.20
ecd	0	0.00
dcd	0	0.00
regraft	0	0.00
inductype	57	3.07

	bpar	first_bpardt
578	0	NaN
1233	0	NaN
374	0	NaN
1802	0	NaN
918	0	NaN
757	0	NaN
759	0	NaN
642	0	NaN
1159	0	NaN
1470	0	NaN

	dgf	crr2	crr2_lt30	rage	rsex	rwhite	rbmi	tdialyr	pkpracat0	rhist_dm	...	rhist_non_skin_cancer	dage	dsex	dbmi	ddeathcause_cva	cit	ecd	dcd	regraft
860	1	10.0	1.0	58	0	1.0	28.0	4.0	0.0	0.0	...	0.0	53.0	0.0	27.0	0.0	7.0	0	0	0
1017	0	45.0	0.0	67	0	1.0	35.0	3.0	1.0	0.0	...	0.0	33.0	1.0	32.0	0.0	5.0	0	0	0
1520	1	-15.0	1.0	66	0	0.0	28.0	6.0	0.0	1.0	...	0.0	61.0	0.0	36.0	0.0	13.0	1	0	0
83	0	35.0	0.0	59	0	0.0	NaN	5.0	0.0	0.0	...	0.0	58.0	0.0	28.0	0.0	4.0	0	0	0
47	1	-16.0	1.0	60	1	0.0	29.0	7.0	1.0	0.0	...	0.0	47.0	0.0	23.0	0.0	NaN	0	0	0
1273	0	39.0	0.0	54	0	1.0	30.0	7.0	1.0	0.0	...	0.0	32.0	0.0	21.0	0.0	14.0	0	0	0
387	1	32.0	0.0	69	0	0.0	31.0	7.0	0.0	1.0	...	1.0	61.0	1.0	21.0	0.0	8.0	1	1	0
334	1	1.0	1.0	37	0	1.0	27.0	7.0	1.0	0.0	...	0.0	46.0	0.0	30.0	1.0	NaN	0	0	1
1832	0	67.0	0.0	47	0	1.0	25.0	4.0	1.0	0.0	...	0.0	32.0	0.0	22.0	0.0	7.0	0	0	0
460	0	31.0	0.0	58	1	0.0	42.0	10.0	1.0	0.0	...	0.0	18.0	0.0	18.0	0.0	9.0	0	0	0

	dgf	crr2	crr2_lt30	rage	rsex	rwhite	rbmi	tdialyr	pkpracat0	rhist_dm	...	rhist_non_skin_cancer	dage	dsex	dbmi	ddeathcause_cva	cit	ecd	dcd	regraft	inductype
count	1840.000000	1840.000000	1840.000000	1840.000000	1840.000000	1840.000000	1745.000000	1834.000000	1840.000000	1840.000000	...	1840.000000	1836.000000	1840.000000	1814.000000	1840.000000	1508.000000	1840.000000	1840.000000	1840.000000	1840.000000
mean	0.351087	24.938587	0.550000	54.869565	0.374457	0.505978	27.302579	5.137405	0.445109	0.343478	...	0.087500	47.856754	0.405435	27.069460	0.214674	11.389920	0.284239	0.228261	0.078804	0.225000
std	0.477440	25.551769	0.497629	12.601878	0.484114	0.500100	5.754647	3.119145	0.497113	0.474998	...	0.282643	15.439207	0.491109	6.222091	0.410708	5.086037	0.451174	0.419826	0.269506	0.417696
min	0.000000	-135.000000	0.000000	18.000000	0.000000	0.000000	13.000000	0.000000	0.000000	0.000000	...	0.000000	0.000000	0.000000	13.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000
25%	0.000000	5.000000	0.000000	47.000000	0.000000	0.000000	23.000000	3.000000	0.000000	0.000000	...	0.000000	38.000000	0.000000	23.000000	0.000000	8.000000	0.000000	0.000000	0.000000	0.000000
50%	0.000000	27.000000	1.000000	56.000000	0.000000	1.000000	26.000000	5.000000	0.000000	0.000000	...	0.000000	50.000000	0.000000	26.000000	0.000000	11.000000	0.000000	0.000000	0.000000	0.000000
75%	1.000000	44.000000	1.000000	64.000000	1.000000	1.000000	31.000000	7.000000	1.000000	1.000000	...	0.000000	59.000000	1.000000	30.000000	0.000000	14.000000	1.000000	0.000000	0.000000	0.000000
max	1.000000	91.000000	1.000000	84.000000	1.000000	1.000000	55.000000	35.000000	1.000000	1.000000	...	1.000000	83.000000	1.000000	80.000000	1.000000	36.000000	1.000000	1.000000	1.000000	1.000000

	study_id	crr2	rage	rbmi	tdialyr	num_comorb	dage	dbmi	cit	regraft	bpar
count	1857.000000	1840.000000	1857.000000	1762.000000	1851.000000	1857.000000	1853.000000	1831.000000	1519.000000	1857.000000	1857.000000
mean	929.000000	24.938587	54.867528	27.293984	5.124257	0.998923	47.777658	27.049700	11.437788	0.078621	0.116317
std	536.214043	25.551769	12.592832	5.739851	3.113130	1.099078	15.465114	6.215901	5.127355	0.269219	0.320691
min	1.000000	-135.000000	18.000000	13.000000	0.000000	0.000000	0.000000	13.000000	0.000000	0.000000	0.000000
25%	465.000000	5.000000	47.000000	23.000000	3.000000	0.000000	38.000000	23.000000	8.000000	0.000000	0.000000
50%	929.000000	27.000000	56.000000	26.000000	5.000000	1.000000	49.000000	26.000000	11.000000	0.000000	0.000000
75%	1393.000000	44.000000	64.000000	30.750000	7.000000	2.000000	59.000000	30.000000	14.000000	0.000000	0.000000
max	1857.000000	91.000000	84.000000	55.000000	35.000000	6.000000	83.000000	80.000000	36.000000	1.000000	1.000000

	rage	rsex	rwhite	rbmi	tdialyr	pkpracat0	rhist_dm	rhist_chd	...	rhist_non_skin_cancer	dage	dsex	dbmi	ddeathcause_cva	cit	ecd	dcd	regraft	inductype
387	68	1	1.0	24.0	5.00	0.0	0.0	0.0	...	0.0	58.0	0.0	26.0	0.0	10.00	1	0	0	1.0
1207	63	0	0.0	28.0	7.00	1.0	1.0	0.0	...	0.0	54.0	0.0	30.0	1.0	6.00	0	1	0	0.0
1054	38	1	0.0	24.0	8.00	0.0	0.0	0.0	...	1.0	42.0	0.0	29.0	0.0	5.00	0	1	0	0.0
1016	73	0	1.0	37.0	3.00	0.0	1.0	1.0	...	0.0	46.0	0.0	26.0	0.0	6.00	0	0	0	0.0
132	63	0	1.0	24.0	7.00	1.0	0.0	0.0	...	1.0	55.0	1.0	27.0	0.0	4.00	0	0	1	0.0
552	54	0	1.0	32.0	3.90	0.0	0.0	0.0	...	0.0	28.0	1.0	27.0	0.0	11.73	0	0	0	1.0
923	70	1	1.0	27.0	3.22	0.0	0.0	0.0	...	0.0	60.0	0.0	27.0	0.0	21.00	1	0	0	1.0
978	55	0	0.0	28.0	5.00	0.0	1.0	0.0	...	0.0	39.0	1.0	31.0	0.0	16.00	0	0	0	0.0
1599	29	0	0.0	33.0	2.00	0.0	1.0	0.0	...	0.0	18.0	0.0	19.0	0.0	2.00	0	1	0	0.0
124	40	0	1.0	35.0	1.00	1.0	1.0	0.0	...	0.0	43.0	0.0	23.0	0.0	13.95	0	0	0	0.0

	rage	rsex	rwhite	rbmi	tdialyr	pkpracat0	rhist_dm	rhist_chd	rhist_chf	rhist_stroke	...	rhist_non_skin_cancer	dage	dsex	dbmi	ddeathcause_cva	cit	ecd	dcd	regraft	inductype
count	1.840000e+03	1840.000000	1840.000000	1.840000e+03	1.840000e+03	1840.000000	1840.000000	1840.000000	1840.000000	1840.000000	...	1840.000000	1.840000e+03	1840.000000	1.840000e+03	1840.000000	1.840000e+03	1840.000000	1840.000000	1840.000000	1840.000000
mean	-5.213221e-17	0.374457	0.505978	4.093344e-16	1.544658e-16	0.445109	0.343478	0.262500	0.057609	0.063587	...	0.087500	-2.432837e-16	0.405435	1.438463e-16	0.214674	-4.170577e-16	0.284239	0.228261	0.078804	0.225000
std	1.000272e+00	0.484114	0.500100	1.000272e+00	1.000272e+00	0.497113	0.474998	0.440113	0.233065	0.244082	...	0.282643	1.000272e+00	0.491109	1.000272e+00	0.410708	1.000272e+00	0.451174	0.419826	0.269506	0.417696
min	-2.926515e+00	0.000000	0.000000	-2.539846e+00	-1.649341e+00	0.000000	0.000000	0.000000	0.000000	0.000000	...	0.000000	-3.101568e+00	0.000000	-2.274577e+00	0.000000	-2.455347e+00	0.000000	0.000000	0.000000	0.000000
25%	-6.246453e-01	0.000000	0.000000	-7.676726e-01	-6.858727e-01	0.000000	0.000000	0.000000	0.000000	0.000000	...	0.000000	-6.384991e-01	0.000000	-6.574993e-01	0.000000	-7.399380e-01	0.000000	0.000000	0.000000	0.000000
50%	8.972806e-02	0.000000	1.000000	-2.360207e-01	-4.356030e-02	0.000000	0.000000	0.000000	0.000000	0.000000	...	0.000000	1.393120e-01	0.000000	-1.723761e-01	0.000000	-9.665957e-02	0.000000	0.000000	0.000000	0.000000
75%	7.247266e-01	1.000000	1.000000	4.728485e-01	5.987521e-01	1.000000	1.000000	1.000000	0.000000	0.000000	...	0.000000	7.226704e-01	1.000000	4.744549e-01	0.000000	5.466188e-01	1.000000	0.000000	0.000000	0.000000
max	2.312223e+00	1.000000	1.000000	4.903281e+00	9.591126e+00	1.000000	1.000000	1.000000	1.000000	1.000000	...	1.000000	2.278293e+00	1.000000	8.559842e+00	1.000000	5.263994e+00	1.000000	1.000000	1.000000	1.000000

	tdialyr_cluster	DGF_yes_ratio
0	0-2	0.199095
1	2-4	0.336152
2	4-6	0.351590
3	6-8	0.437853

	AUC	Accuracy	F1_weighted	Sensitivity	Specificity	Precision	Recall	Sensitivity_weighted	Specificity_weighted	Precision_weighted	Recall_weighted	params
0	0.7095 ± 0.0134	0.6913 ± 0.013	0.6506 ± 0.0221	0.2817 ± 0.0548	0.9129 ± 0.0179	0.6358 ± 0.026	0.2817 ± 0.0548	0.6913 ± 0.013	0.9129 ± 0.0179	0.6787 ± 0.0157	0.6913 ± 0.013	{'random_state': 8888, 'criterion': 'log_loss'...
1	0.7095 ± 0.0134	0.6913 ± 0.013	0.6506 ± 0.0221	0.2817 ± 0.0548	0.9129 ± 0.0179	0.6358 ± 0.026	0.2817 ± 0.0548	0.6913 ± 0.013	0.9129 ± 0.0179	0.6787 ± 0.0157	0.6913 ± 0.013	{'random_state': 8888, 'criterion': 'entropy',...

	AUC	Accuracy	F1_weighted	Sensitivity	Specificity	Precision	Recall	Sensitivity_weighted	Specificity_weighted	Precision_weighted	Recall_weighted	params
0	0.697 ± 0.0136	0.7005 ± 0.0097	0.6725 ± 0.014	0.3466 ± 0.0379	0.8919 ± 0.0123	0.6342 ± 0.0212	0.3466 ± 0.0379	0.7005 ± 0.0097	0.8919 ± 0.0123	0.6876 ± 0.0123	0.7005 ± 0.0097	{'random_state': 2022, 'criterion': 'log_loss'...
1	0.697 ± 0.0136	0.7005 ± 0.0097	0.6725 ± 0.014	0.3466 ± 0.0379	0.8919 ± 0.0123	0.6342 ± 0.0212	0.3466 ± 0.0379	0.7005 ± 0.0097	0.8919 ± 0.0123	0.6876 ± 0.0123	0.7005 ± 0.0097	{'random_state': 2022, 'criterion': 'entropy',...
2	0.7033 ± 0.0135	0.7005 ± 0.0057	0.6737 ± 0.0079	0.3529 ± 0.0297	0.8886 ± 0.0166	0.6336 ± 0.0193	0.3529 ± 0.0297	0.7005 ± 0.0057	0.8886 ± 0.0166	0.688 ± 0.0073	0.7005 ± 0.0057	{'random_state': 2022, 'criterion': 'log_loss'...
3	0.7033 ± 0.0135	0.7005 ± 0.0057	0.6737 ± 0.0079	0.3529 ± 0.0297	0.8886 ± 0.0166	0.6336 ± 0.0193	0.3529 ± 0.0297	0.7005 ± 0.0057	0.8886 ± 0.0166	0.688 ± 0.0073	0.7005 ± 0.0057	{'random_state': 2022, 'criterion': 'entropy',...
4	0.7024 ± 0.0191	0.7 ± 0.0142	0.6595 ± 0.0172	0.2879 ± 0.0409	0.9229 ± 0.0248	0.6761 ± 0.0507	0.2879 ± 0.0409	0.7 ± 0.0142	0.9229 ± 0.0248	0.6952 ± 0.0212	0.7 ± 0.0142	{'random_state': 777, 'criterion': 'entropy', ...
...	...	...	...	...	...	...	...	...	...	...	...	...
445	0.695 ± 0.0269	0.6484 ± 0.0019	0.5105 ± 0.0017	0.0 ± 0.0	0.9992 ± 0.0015	0.0 ± 0.0	0.0 ± 0.0	0.6484 ± 0.0019	0.9992 ± 0.0015	0.421 ± 0.0015	0.6484 ± 0.0019	{'random_state': 32, 'criterion': 'log_loss', ...
446	0.6468 ± 0.027	0.6484 ± 0.0012	0.5162 ± 0.0056	0.0093 ± 0.0099	0.9941 ± 0.0055	0.2057 ± 0.2259	0.0093 ± 0.0099	0.6484 ± 0.0012	0.9941 ± 0.0055	0.494 ± 0.0795	0.6484 ± 0.0012	{'random_state': 777, 'criterion': 'entropy', ...
447	0.6468 ± 0.027	0.6484 ± 0.0012	0.5162 ± 0.0056	0.0093 ± 0.0099	0.9941 ± 0.0055	0.2057 ± 0.2259	0.0093 ± 0.0099	0.6484 ± 0.0012	0.9941 ± 0.0055	0.494 ± 0.0795	0.6484 ± 0.0012	{'random_state': 777, 'criterion': 'log_loss',...
448	0.6521 ± 0.0186	0.6478 ± 0.0032	0.5112 ± 0.0032	0.0016 ± 0.0027	0.9975 ± 0.0044	0.2 ± 0.3506	0.0016 ± 0.0027	0.6478 ± 0.0032	0.9975 ± 0.0044	0.4911 ± 0.1238	0.6478 ± 0.0032	{'random_state': 2022, 'criterion': 'log_loss'...
449	0.6521 ± 0.0186	0.6478 ± 0.0032	0.5112 ± 0.0032	0.0016 ± 0.0027	0.9975 ± 0.0044	0.2 ± 0.3506	0.0016 ± 0.0027	0.6478 ± 0.0032	0.9975 ± 0.0044	0.4911 ± 0.1238	0.6478 ± 0.0032	{'random_state': 2022, 'criterion': 'entropy',...

	AUC	Accuracy	F1_weighted	Sensitivity	Specificity	Precision	Recall	Sensitivity_weighted	Specificity_weighted	Precision_weighted	Recall_weighted	params
0	0.7064 ± 0.0232	0.6489 ± 0.001	0.5107 ± 0.0012	0.0 ± 0.0	1.0 ± 0.0	0.0 ± 0.0	0.0 ± 0.0	0.6489 ± 0.001	1.0 ± 0.0	0.4211 ± 0.0012	0.6489 ± 0.001	{'random_state': 100, 'criterion': 'log_loss',...
1	0.7064 ± 0.0232	0.6489 ± 0.001	0.5107 ± 0.0012	0.0 ± 0.0	1.0 ± 0.0	0.0 ± 0.0	0.0 ± 0.0	0.6489 ± 0.001	1.0 ± 0.0	0.4211 ± 0.0012	0.6489 ± 0.001	{'random_state': 100, 'criterion': 'entropy', ...
2	0.7059 ± 0.0222	0.6489 ± 0.001	0.5107 ± 0.0012	0.0 ± 0.0	1.0 ± 0.0	0.0 ± 0.0	0.0 ± 0.0	0.6489 ± 0.001	1.0 ± 0.0	0.4211 ± 0.0012	0.6489 ± 0.001	{'random_state': 100, 'criterion': 'gini', 'n_...
3	0.7053 ± 0.0202	0.6745 ± 0.0152	0.599 ± 0.0293	0.1532 ± 0.056	0.9564 ± 0.0225	0.6577 ± 0.0718	0.1532 ± 0.056	0.6745 ± 0.0152	0.9564 ± 0.0225	0.6698 ± 0.0305	0.6745 ± 0.0152	{'random_state': 100, 'criterion': 'entropy', ...
4	0.7053 ± 0.0202	0.6745 ± 0.0152	0.599 ± 0.0293	0.1532 ± 0.056	0.9564 ± 0.0225	0.6577 ± 0.0718	0.1532 ± 0.056	0.6745 ± 0.0152	0.9564 ± 0.0225	0.6698 ± 0.0305	0.6745 ± 0.0152	{'random_state': 100, 'criterion': 'log_loss',...
5	0.7048 ± 0.0187	0.6495 ± 0.0015	0.512 ± 0.0027	0.0016 ± 0.0027	1.0 ± 0.0	0.2 ± 0.3506	0.0016 ± 0.0027	0.6495 ± 0.0015	1.0 ± 0.0	0.4914 ± 0.1236	0.6495 ± 0.0015	{'random_state': 100, 'criterion': 'gini', 'n_...
6	0.7047 ± 0.0167	0.6984 ± 0.0123	0.6556 ± 0.0198	0.277 ± 0.0431	0.9263 ± 0.0125	0.669 ± 0.0324	0.277 ± 0.0431	0.6984 ± 0.0123	0.9263 ± 0.0125	0.6913 ± 0.0171	0.6984 ± 0.0123	{'random_state': 8888, 'criterion': 'gini', 'n...
7	0.7045 ± 0.0161	0.6946 ± 0.0136	0.6543 ± 0.0194	0.2848 ± 0.0457	0.9162 ± 0.0197	0.6501 ± 0.0352	0.2848 ± 0.0457	0.6946 ± 0.0136	0.9162 ± 0.0197	0.6846 ± 0.0174	0.6946 ± 0.0136	{'random_state': 100, 'criterion': 'log_loss',...
8	0.7045 ± 0.0161	0.6946 ± 0.0136	0.6543 ± 0.0194	0.2848 ± 0.0457	0.9162 ± 0.0197	0.6501 ± 0.0352	0.2848 ± 0.0457	0.6946 ± 0.0136	0.9162 ± 0.0197	0.6846 ± 0.0174	0.6946 ± 0.0136	{'random_state': 100, 'criterion': 'entropy', ...
9	0.7043 ± 0.0147	0.6728 ± 0.0159	0.5997 ± 0.0237	0.1563 ± 0.0455	0.9522 ± 0.0271	0.6526 ± 0.0799	0.1563 ± 0.0455	0.6728 ± 0.0159	0.9522 ± 0.0271	0.6678 ± 0.0327	0.6728 ± 0.0159	{'random_state': 100, 'criterion': 'log_loss',...

	AUC_train	AUC_test	Accuracy_train	Accuracy_test	F1_Class1_train	F1_Class1_test	F1_Class0_train	F1_Class0_test	params
0	0.8072	0.7130	0.6943	0.6855	0.2677	0.2041	0.8068	0.8040	{'random_state': 2022, 'criterion': 'log_loss'...
1	0.8072	0.7130	0.6943	0.6855	0.2677	0.2041	0.8068	0.8040	{'random_state': 2022, 'criterion': 'entropy',...
2	0.8020	0.7122	0.6976	0.6801	0.2746	0.1678	0.8090	0.8020	{'random_state': 32, 'criterion': 'log_loss', ...
3	0.8020	0.7122	0.6976	0.6801	0.2746	0.1678	0.8090	0.8020	{'random_state': 32, 'criterion': 'entropy', '...
4	0.9561	0.7119	0.8296	0.7097	0.6880	0.4130	0.8828	0.8071	{'random_state': 2022, 'criterion': 'entropy',...
5	0.9561	0.7119	0.8296	0.7097	0.6880	0.4130	0.8828	0.8071	{'random_state': 2022, 'criterion': 'log_loss'...
6	0.9576	0.7115	0.8350	0.7043	0.7001	0.3889	0.8862	0.8050	{'random_state': 2022, 'criterion': 'entropy',...
7	0.9576	0.7115	0.8350	0.7043	0.7001	0.3889	0.8862	0.8050	{'random_state': 2022, 'criterion': 'log_loss'...
8	0.9480	0.7113	0.8290	0.6882	0.6895	0.3696	0.8820	0.7929	{'random_state': 32, 'criterion': 'log_loss', ...
9	0.9480	0.7113	0.8290	0.6882	0.6895	0.3696	0.8820	0.7929	{'random_state': 32, 'criterion': 'entropy', '...

	AUC	Accuracy	F1_weighted	Sensitivity	Specificity	Precision	Recall	Sensitivity_weighted	Specificity_weighted	Precision_weighted	Recall_weighted	params
0	0.7031 ± 0.0224	0.6929 ± 0.0148	0.6626 ± 0.0123	0.3296 ± 0.0398	0.8894 ± 0.0366	0.6269 ± 0.0441	0.3296 ± 0.0398	0.6929 ± 0.0148	0.8894 ± 0.0366	0.6811 ± 0.0171	0.6929 ± 0.0148	{'C': 1.0, 'kernel': 'rbf', 'gamma': 'auto', '...
1	0.7031 ± 0.0224	0.6929 ± 0.0148	0.6626 ± 0.0123	0.3296 ± 0.0398	0.8894 ± 0.0366	0.6269 ± 0.0441	0.3296 ± 0.0398	0.6929 ± 0.0148	0.8894 ± 0.0366	0.6811 ± 0.0171	0.6929 ± 0.0148	{'C': 1.0, 'kernel': 'rbf', 'gamma': 'auto', '...
2	0.7031 ± 0.0224	0.6929 ± 0.0148	0.6626 ± 0.0123	0.3296 ± 0.0398	0.8894 ± 0.0366	0.6269 ± 0.0441	0.3296 ± 0.0398	0.6929 ± 0.0148	0.8894 ± 0.0366	0.6811 ± 0.0171	0.6929 ± 0.0148	{'C': 1.0, 'kernel': 'rbf', 'gamma': 'auto', '...
3	0.7031 ± 0.0224	0.6929 ± 0.0148	0.6626 ± 0.0123	0.3296 ± 0.0398	0.8894 ± 0.0366	0.6269 ± 0.0441	0.3296 ± 0.0398	0.6929 ± 0.0148	0.8894 ± 0.0366	0.6811 ± 0.0171	0.6929 ± 0.0148	{'C': 1.0, 'kernel': 'rbf', 'gamma': 'auto', '...
4	0.7031 ± 0.0224	0.6929 ± 0.0148	0.6626 ± 0.0123	0.3296 ± 0.0398	0.8894 ± 0.0366	0.6269 ± 0.0441	0.3296 ± 0.0398	0.6929 ± 0.0148	0.8894 ± 0.0366	0.6811 ± 0.0171	0.6929 ± 0.0148	{'C': 1.0, 'kernel': 'rbf', 'gamma': 'auto', '...
5	0.7054 ± 0.0219	0.6489 ± 0.001	0.5107 ± 0.0012	0.0 ± 0.0	1.0 ± 0.0	0.0 ± 0.0	0.0 ± 0.0	0.6489 ± 0.001	1.0 ± 0.0	0.4211 ± 0.0012	0.6489 ± 0.001	{'C': 0.1, 'kernel': 'rbf', 'gamma': 'auto', '...
6	0.7054 ± 0.0219	0.6489 ± 0.001	0.5107 ± 0.0012	0.0 ± 0.0	1.0 ± 0.0	0.0 ± 0.0	0.0 ± 0.0	0.6489 ± 0.001	1.0 ± 0.0	0.4211 ± 0.0012	0.6489 ± 0.001	{'C': 0.1, 'kernel': 'rbf', 'gamma': 'auto', '...
7	0.7054 ± 0.0219	0.6489 ± 0.001	0.5107 ± 0.0012	0.0 ± 0.0	1.0 ± 0.0	0.0 ± 0.0	0.0 ± 0.0	0.6489 ± 0.001	1.0 ± 0.0	0.4211 ± 0.0012	0.6489 ± 0.001	{'C': 0.1, 'kernel': 'rbf', 'gamma': 'auto', '...
8	0.7054 ± 0.0219	0.6489 ± 0.001	0.5107 ± 0.0012	0.0 ± 0.0	1.0 ± 0.0	0.0 ± 0.0	0.0 ± 0.0	0.6489 ± 0.001	1.0 ± 0.0	0.4211 ± 0.0012	0.6489 ± 0.001	{'C': 0.1, 'kernel': 'rbf', 'gamma': 'auto', '...
9	0.7054 ± 0.0219	0.6489 ± 0.001	0.5107 ± 0.0012	0.0 ± 0.0	1.0 ± 0.0	0.0 ± 0.0	0.0 ± 0.0	0.6489 ± 0.001	1.0 ± 0.0	0.4211 ± 0.0012	0.6489 ± 0.001	{'C': 0.1, 'kernel': 'rbf', 'gamma': 'auto', '...

	AUC	Accuracy	F1_weighted	Sensitivity	Specificity	Precision	Recall	Sensitivity_weighted	Specificity_weighted	Precision_weighted	Recall_weighted	params
0	0.6413 ± 0.0197	0.6049 ± 0.0182	0.5975 ± 0.0207	0.7194 ± 0.0301	0.4651 ± 0.0494	0.6226 ± 0.0179	0.7194 ± 0.0301	0.6049 ± 0.0182	0.4651 ± 0.0494	0.6012 ± 0.0196	0.6049 ± 0.0182	{'C': 1.0, 'kernel': 'rbf', 'gamma': 'auto', '...
1	0.6413 ± 0.0197	0.6049 ± 0.0182	0.5975 ± 0.0207	0.7194 ± 0.0301	0.4651 ± 0.0494	0.6226 ± 0.0179	0.7194 ± 0.0301	0.6049 ± 0.0182	0.4651 ± 0.0494	0.6012 ± 0.0196	0.6049 ± 0.0182	{'C': 1.0, 'kernel': 'rbf', 'gamma': 'auto', '...
2	0.6413 ± 0.0197	0.6049 ± 0.0182	0.5975 ± 0.0207	0.7194 ± 0.0301	0.4651 ± 0.0494	0.6226 ± 0.0179	0.7194 ± 0.0301	0.6049 ± 0.0182	0.4651 ± 0.0494	0.6012 ± 0.0196	0.6049 ± 0.0182	{'C': 1.0, 'kernel': 'rbf', 'gamma': 'auto', '...
3	0.6413 ± 0.0197	0.6049 ± 0.0182	0.5975 ± 0.0207	0.7194 ± 0.0301	0.4651 ± 0.0494	0.6226 ± 0.0179	0.7194 ± 0.0301	0.6049 ± 0.0182	0.4651 ± 0.0494	0.6012 ± 0.0196	0.6049 ± 0.0182	{'C': 1.0, 'kernel': 'rbf', 'gamma': 'auto', '...
4	0.6413 ± 0.0197	0.6049 ± 0.0182	0.5975 ± 0.0207	0.7194 ± 0.0301	0.4651 ± 0.0494	0.6226 ± 0.0179	0.7194 ± 0.0301	0.6049 ± 0.0182	0.4651 ± 0.0494	0.6012 ± 0.0196	0.6049 ± 0.0182	{'C': 1.0, 'kernel': 'rbf', 'gamma': 'auto', '...
5	0.6376 ± 0.0202	0.6076 ± 0.0232	0.6044 ± 0.0231	0.6907 ± 0.0253	0.5061 ± 0.0242	0.6308 ± 0.0193	0.6907 ± 0.0253	0.6076 ± 0.0232	0.5061 ± 0.0242	0.6047 ± 0.0235	0.6076 ± 0.0232	{'C': 0.1, 'kernel': 'linear', 'gamma': 'auto'...
6	0.6376 ± 0.0202	0.6076 ± 0.0232	0.6044 ± 0.0231	0.6907 ± 0.0253	0.5061 ± 0.0242	0.6308 ± 0.0193	0.6907 ± 0.0253	0.6076 ± 0.0232	0.5061 ± 0.0242	0.6047 ± 0.0235	0.6076 ± 0.0232	{'C': 0.1, 'kernel': 'linear', 'gamma': 'scale...
7	0.6376 ± 0.0202	0.6076 ± 0.0232	0.6044 ± 0.0231	0.6907 ± 0.0253	0.5061 ± 0.0242	0.6308 ± 0.0193	0.6907 ± 0.0253	0.6076 ± 0.0232	0.5061 ± 0.0242	0.6047 ± 0.0235	0.6076 ± 0.0232	{'C': 0.1, 'kernel': 'linear', 'gamma': 'auto'...
8	0.6376 ± 0.0202	0.6076 ± 0.0232	0.6044 ± 0.0231	0.6907 ± 0.0253	0.5061 ± 0.0242	0.6308 ± 0.0193	0.6907 ± 0.0253	0.6076 ± 0.0232	0.5061 ± 0.0242	0.6047 ± 0.0235	0.6076 ± 0.0232	{'C': 0.1, 'kernel': 'linear', 'gamma': 'scale...
9	0.6376 ± 0.0202	0.6076 ± 0.0232	0.6044 ± 0.0231	0.6907 ± 0.0253	0.5061 ± 0.0242	0.6308 ± 0.0193	0.6907 ± 0.0253	0.6076 ± 0.0232	0.5061 ± 0.0242	0.6047 ± 0.0235	0.6076 ± 0.0232	{'C': 0.1, 'kernel': 'linear', 'gamma': 'auto'...

	AUC	Accuracy	F1_weighted	Sensitivity	Specificity	Precision	Recall	Sensitivity_weighted	Specificity_weighted	Precision_weighted	Recall_weighted	params
0	0.7071 ± 0.016	0.6957 ± 0.0081	0.6648 ± 0.0105	0.3266 ± 0.0275	0.8953 ± 0.0138	0.6292 ± 0.0222	0.3266 ± 0.0275	0.6957 ± 0.0081	0.8953 ± 0.0138	0.6822 ± 0.0104	0.6957 ± 0.0081	{'C': 0.1, 'solver': 'lbfgs', 'max_iter': 200,...
1	0.7071 ± 0.016	0.6957 ± 0.0081	0.6648 ± 0.0105	0.3266 ± 0.0275	0.8953 ± 0.0138	0.6292 ± 0.0222	0.3266 ± 0.0275	0.6957 ± 0.0081	0.8953 ± 0.0138	0.6822 ± 0.0104	0.6957 ± 0.0081	{'C': 0.1, 'solver': 'lbfgs', 'max_iter': 100,...
2	0.7071 ± 0.016	0.6957 ± 0.0081	0.6648 ± 0.0105	0.3266 ± 0.0275	0.8953 ± 0.0138	0.6292 ± 0.0222	0.3266 ± 0.0275	0.6957 ± 0.0081	0.8953 ± 0.0138	0.6822 ± 0.0104	0.6957 ± 0.0081	{'C': 0.1, 'solver': 'lbfgs', 'max_iter': 100,...
3	0.7071 ± 0.016	0.6957 ± 0.0081	0.6648 ± 0.0105	0.3266 ± 0.0275	0.8953 ± 0.0138	0.6292 ± 0.0222	0.3266 ± 0.0275	0.6957 ± 0.0081	0.8953 ± 0.0138	0.6822 ± 0.0104	0.6957 ± 0.0081	{'C': 0.1, 'solver': 'lbfgs', 'max_iter': 100,...
4	0.7071 ± 0.016	0.6957 ± 0.0081	0.6648 ± 0.0105	0.3266 ± 0.0275	0.8953 ± 0.0138	0.6292 ± 0.0222	0.3266 ± 0.0275	0.6957 ± 0.0081	0.8953 ± 0.0138	0.6822 ± 0.0104	0.6957 ± 0.0081	{'C': 0.1, 'solver': 'lbfgs', 'max_iter': 100,...
5	0.7071 ± 0.016	0.6957 ± 0.0081	0.6648 ± 0.0105	0.3266 ± 0.0275	0.8953 ± 0.0138	0.6292 ± 0.0222	0.3266 ± 0.0275	0.6957 ± 0.0081	0.8953 ± 0.0138	0.6822 ± 0.0104	0.6957 ± 0.0081	{'C': 0.1, 'solver': 'lbfgs', 'max_iter': 200,...
6	0.7071 ± 0.016	0.6957 ± 0.0081	0.6648 ± 0.0105	0.3266 ± 0.0275	0.8953 ± 0.0138	0.6292 ± 0.0222	0.3266 ± 0.0275	0.6957 ± 0.0081	0.8953 ± 0.0138	0.6822 ± 0.0104	0.6957 ± 0.0081	{'C': 0.1, 'solver': 'lbfgs', 'max_iter': 300,...
7	0.7071 ± 0.016	0.6957 ± 0.0081	0.6648 ± 0.0105	0.3266 ± 0.0275	0.8953 ± 0.0138	0.6292 ± 0.0222	0.3266 ± 0.0275	0.6957 ± 0.0081	0.8953 ± 0.0138	0.6822 ± 0.0104	0.6957 ± 0.0081	{'C': 0.1, 'solver': 'lbfgs', 'max_iter': 300,...
8	0.7071 ± 0.016	0.6957 ± 0.0081	0.6648 ± 0.0105	0.3266 ± 0.0275	0.8953 ± 0.0138	0.6292 ± 0.0222	0.3266 ± 0.0275	0.6957 ± 0.0081	0.8953 ± 0.0138	0.6822 ± 0.0104	0.6957 ± 0.0081	{'C': 0.1, 'solver': 'lbfgs', 'max_iter': 300,...
9	0.7071 ± 0.016	0.6957 ± 0.0081	0.6648 ± 0.0105	0.3266 ± 0.0275	0.8953 ± 0.0138	0.6292 ± 0.0222	0.3266 ± 0.0275	0.6957 ± 0.0081	0.8953 ± 0.0138	0.6822 ± 0.0104	0.6957 ± 0.0081	{'C': 0.1, 'solver': 'lbfgs', 'max_iter': 300,...

	AUC_train	AUC_test	Accuracy_train	Accuracy_test	F1_Class1_train	F1_Class1_test	F1_Class0_train	F1_Class0_test	params
0	0.7335	0.6780	0.7057	0.7124	0.4651	0.478	0.7970	0.8015	{'C': 0.1, 'solver': 'saga', 'max_iter': 10000...
1	0.7335	0.6780	0.7064	0.7124	0.4670	0.478	0.7974	0.8015	{'C': 0.1, 'solver': 'lbfgs', 'max_iter': 2000...
2	0.7335	0.6781	0.7064	0.7124	0.4670	0.478	0.7974	0.8015	{'C': 0.1, 'solver': 'newton-cg', 'max_iter': ...
3	0.7335	0.6781	0.7064	0.7124	0.4670	0.478	0.7974	0.8015	{'C': 0.1, 'solver': 'newton-cg', 'max_iter': ...
4	0.7335	0.6780	0.7064	0.7124	0.4670	0.478	0.7974	0.8015	{'C': 0.1, 'solver': 'lbfgs', 'max_iter': 3000...
5	0.7335	0.6780	0.7057	0.7124	0.4651	0.478	0.7970	0.8015	{'C': 0.1, 'solver': 'sag', 'max_iter': 30000,...
6	0.7335	0.6779	0.7057	0.7124	0.4651	0.478	0.7970	0.8015	{'C': 0.1, 'solver': 'sag', 'max_iter': 20000,...
7	0.7335	0.6781	0.7064	0.7124	0.4670	0.478	0.7974	0.8015	{'C': 0.1, 'solver': 'newton-cg', 'max_iter': ...
8	0.7335	0.6780	0.7057	0.7124	0.4651	0.478	0.7970	0.8015	{'C': 0.1, 'solver': 'saga', 'max_iter': 20000...
9	0.7335	0.6780	0.7064	0.7124	0.4670	0.478	0.7974	0.8015	{'C': 0.1, 'solver': 'lbfgs', 'max_iter': 3000...

	AUC	Accuracy	F1_weighted	Sensitivity	Specificity	Precision	Recall	Sensitivity_weighted	Specificity_weighted	Precision_weighted	Recall_weighted	params
374	0.6319 ± 0.0167	0.5935 ± 0.0142	0.5733 ± 0.0164	0.7836 ± 0.0196	0.3612 ± 0.0305	0.6001 ± 0.0115	0.7836 ± 0.0196	0.5935 ± 0.0142	0.3612 ± 0.0305	0.5898 ± 0.0167	0.5935 ± 0.0142	{'C': 0.01, 'solver': 'lbfgs', 'max_iter': 100...
341	0.6319 ± 0.0167	0.5929 ± 0.0139	0.5726 ± 0.0161	0.7836 ± 0.0196	0.36 ± 0.0302	0.5996 ± 0.0114	0.7836 ± 0.0196	0.5929 ± 0.0139	0.36 ± 0.0302	0.5892 ± 0.0164	0.5929 ± 0.0139	{'C': 0.01, 'solver': 'saga', 'max_iter': 200,...
340	0.6319 ± 0.0167	0.5929 ± 0.0139	0.5726 ± 0.0161	0.7836 ± 0.0196	0.36 ± 0.0302	0.5996 ± 0.0114	0.7836 ± 0.0196	0.5929 ± 0.0139	0.36 ± 0.0302	0.5892 ± 0.0164	0.5929 ± 0.0139	{'C': 0.01, 'solver': 'sag', 'max_iter': 300, ...
339	0.6319 ± 0.0167	0.5929 ± 0.0139	0.5726 ± 0.0161	0.7836 ± 0.0196	0.36 ± 0.0302	0.5996 ± 0.0114	0.7836 ± 0.0196	0.5929 ± 0.0139	0.36 ± 0.0302	0.5892 ± 0.0164	0.5929 ± 0.0139	{'C': 0.01, 'solver': 'sag', 'max_iter': 200, ...
338	0.6319 ± 0.0167	0.5929 ± 0.0139	0.5726 ± 0.0161	0.7836 ± 0.0196	0.36 ± 0.0302	0.5996 ± 0.0114	0.7836 ± 0.0196	0.5929 ± 0.0139	0.36 ± 0.0302	0.5892 ± 0.0164	0.5929 ± 0.0139	{'C': 0.01, 'solver': 'saga', 'max_iter': 200,...

	AUC	Accuracy	F1_weighted	Sensitivity	Specificity	Precision	Recall	Sensitivity_weighted	Specificity_weighted	Precision_weighted	Recall_weighted	params
0	0.704 ± 0.0139	0.6935 ± 0.0146	0.67 ± 0.0183	0.3669 ± 0.0464	0.8702 ± 0.0197	0.6051 ± 0.0288	0.3669 ± 0.0464	0.6935 ± 0.0146	0.8702 ± 0.0197	0.6783 ± 0.0171	0.6935 ± 0.0146	{'learning_rate': 0.1, 'n_estimators': 50, 'ma...
1	0.7041 ± 0.0139	0.6935 ± 0.0142	0.6697 ± 0.0186	0.3653 ± 0.0483	0.871 ± 0.0186	0.6051 ± 0.027	0.3653 ± 0.0483	0.6935 ± 0.0142	0.871 ± 0.0186	0.6781 ± 0.0168	0.6935 ± 0.0142	{'learning_rate': 0.1, 'n_estimators': 50, 'ma...
2	0.7041 ± 0.0138	0.6935 ± 0.0142	0.6697 ± 0.0186	0.3653 ± 0.0483	0.871 ± 0.0186	0.6051 ± 0.027	0.3653 ± 0.0483	0.6935 ± 0.0142	0.871 ± 0.0186	0.6781 ± 0.0168	0.6935 ± 0.0142	{'learning_rate': 0.1, 'n_estimators': 50, 'ma...
3	0.7037 ± 0.0139	0.6924 ± 0.0146	0.6688 ± 0.0192	0.3653 ± 0.0483	0.8693 ± 0.0171	0.6014 ± 0.0271	0.3653 ± 0.0483	0.6924 ± 0.0146	0.8693 ± 0.0171	0.6766 ± 0.0174	0.6924 ± 0.0146	{'learning_rate': 0.1, 'n_estimators': 50, 'ma...
4	0.7039 ± 0.0137	0.6924 ± 0.0149	0.6688 ± 0.0191	0.3653 ± 0.0483	0.8693 ± 0.0191	0.602 ± 0.0284	0.3653 ± 0.0483	0.6924 ± 0.0149	0.8693 ± 0.0191	0.6768 ± 0.0176	0.6924 ± 0.0149	{'learning_rate': 0.1, 'n_estimators': 50, 'ma...

	AUC	Accuracy	F1_weighted	Sensitivity	Specificity	Precision	Recall	Sensitivity_weighted	Specificity_weighted	Precision_weighted	Recall_weighted	params
0	0.64 ± 0.0176	0.6087 ± 0.0103	0.6035 ± 0.0091	0.7065 ± 0.0352	0.4891 ± 0.0311	0.6285 ± 0.0077	0.7065 ± 0.0352	0.6087 ± 0.0103	0.4891 ± 0.0311	0.606 ± 0.0105	0.6087 ± 0.0103	{'random_state': 100, 'criterion': 'log_loss',...
1	0.64 ± 0.0176	0.6087 ± 0.0103	0.6035 ± 0.0091	0.7065 ± 0.0352	0.4891 ± 0.0311	0.6285 ± 0.0077	0.7065 ± 0.0352	0.6087 ± 0.0103	0.4891 ± 0.0311	0.606 ± 0.0105	0.6087 ± 0.0103	{'random_state': 100, 'criterion': 'entropy', ...
2	0.6404 ± 0.0201	0.6027 ± 0.0241	0.5978 ± 0.0219	0.7016 ± 0.0446	0.4819 ± 0.005	0.6226 ± 0.0147	0.7016 ± 0.0446	0.6027 ± 0.0241	0.4819 ± 0.005	0.6 ± 0.0245	0.6027 ± 0.0241	{'random_state': 32, 'criterion': 'entropy', '...
3	0.6404 ± 0.0201	0.6027 ± 0.0241	0.5978 ± 0.0219	0.7016 ± 0.0446	0.4819 ± 0.005	0.6226 ± 0.0147	0.7016 ± 0.0446	0.6027 ± 0.0241	0.4819 ± 0.005	0.6 ± 0.0245	0.6027 ± 0.0241	{'random_state': 32, 'criterion': 'log_loss', ...
4	0.6405 ± 0.014	0.6038 ± 0.0057	0.5791 ± 0.0069	0.8152 ± 0.0157	0.3454 ± 0.0188	0.6036 ± 0.0044	0.8152 ± 0.0157	0.6038 ± 0.0057	0.3454 ± 0.0188	0.6043 ± 0.0075	0.6038 ± 0.0057	{'random_state': 8888, 'criterion': 'gini', 'n...
5	0.6402 ± 0.0141	0.6011 ± 0.0098	0.577 ± 0.0115	0.8093 ± 0.017	0.3466 ± 0.0235	0.6023 ± 0.0075	0.8093 ± 0.017	0.6011 ± 0.0098	0.3466 ± 0.0235	0.6005 ± 0.012	0.6011 ± 0.0098	{'random_state': 8888, 'criterion': 'gini', 'n...

	crr2	rage	rsex	rwhite	rbmi	tdialyr	pkpracat0	dage	dbmi	cit	inductype	cni_disch	txera	status	bpar	days_to_readmission	days_to_status
72	30.000000	55	0	0.0	29.0	6.03	0.0	48.0	21.0	10.820000	1.0	0.0	0	0	0	86.000000	4143
1088	-11.000000	58	1	1.0	31.0	7.14	0.0	57.0	25.0	4.630000	0.0	0.0	1	0	1	396.000000	3292
208	28.000000	55	0	0.0	24.0	6.40	1.0	24.0	23.0	11.447472	0.0	0.0	2	1	0	20.000000	913
1742	18.000000	64	0	0.0	24.0	2.88	0.0	62.0	23.0	6.170000	0.0	0.0	2	2	0	0.000000	47
186	57.000000	54	1	0.0	23.0	2.40	0.0	35.0	26.0	10.500000	0.0	0.0	2	1	0	421.968254	1827
501	24.901523	65	0	1.0	25.0	3.04	0.0	16.0	21.0	21.620000	0.0	1.0	0	2	0	15.000000	4236
200	34.000000	55	0	1.0	31.0	4.25	1.0	73.0	22.0	5.220000	0.0	0.0	1	2	0	524.000000	2742
719	-15.000000	66	1	0.0	34.0	11.25	1.0	58.0	22.0	11.000000	1.0	0.0	2	2	0	421.968254	655
510	-24.000000	56	1	0.0	29.0	3.49	0.0	53.0	24.0	4.420000	0.0	0.0	2	1	0	421.968254	585
261	1.000000	33	0	0.0	31.0	6.86	1.0	61.0	27.0	11.447472	0.0	1.0	0	1	0	421.968254	7157

	crr2	rage	rsex	rwhite	rbmi	tdialyr	pkpracat0	dage	dbmi	cit	inductype	cni_disch	txera	status	bpar	days_to_readmission	days_to_status
count	1856.000000	1856.000000	1856.000000	1856.000000	1856.000000	1856.000000	1856.000000	1856.000000	1856.000000	1856.000000	1856.000000	1856.000000	1856.000000	1856.000000	1856.000000	1856.000000	1856.000000
mean	24.904703	54.873922	0.373384	0.378233	27.296836	5.118905	0.412716	47.784004	27.055114	11.444954	0.222522	0.126078	1.188039	0.899784	0.116379	419.942375	2604.244612
std	25.483025	12.593210	0.483833	0.485077	5.591179	3.074666	0.492455	15.450183	6.169459	4.624046	0.416052	0.332026	0.808104	0.637279	0.320766	565.880978	1830.555607
min	-135.000000	18.000000	0.000000	0.000000	13.000000	0.000000	0.000000	0.000000	13.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000
25%	5.000000	47.000000	0.000000	0.000000	23.000000	3.170000	0.000000	38.000000	23.000000	8.365000	0.000000	0.000000	0.750000	0.000000	0.000000	56.000000	1194.000000
50%	26.000000	56.000000	0.000000	0.000000	27.000000	4.790000	0.000000	49.000000	26.000000	11.447472	0.000000	0.000000	1.000000	1.000000	0.000000	421.968254	2260.000000
75%	43.250000	64.000000	1.000000	1.000000	30.000000	6.600000	1.000000	59.000000	30.000000	13.350000	0.000000	0.000000	2.000000	1.000000	0.000000	421.968254	3619.250000
max	91.000000	84.000000	1.000000	1.000000	55.000000	34.580000	1.000000	83.000000	80.000000	35.520000	1.000000	1.000000	2.000000	2.000000	1.000000	4885.000000	8692.000000

DGF AI Analysis¶

Importing Necessary libraries¶

Dataset Background¶

Exploratory Data Analysis¶

1. Understanding the Target Variable, DGF¶

2. Univariate Analysis (Distribution of Individual Variables) and Bivariate Analysis on DGF¶

Interpretation of Results¶

Overall Trend¶

Clinical Implications¶

Analyzing Relationship between the impact of Donor Age and Recipient Age on DGF¶

Key Observations¶

1. Donor Age Impact on DGF:¶

2. Recipient Age Impact on DGF:¶

3. Age Mismatch and DGF:¶

4. Clustering Patterns:¶

Conclusion:¶

Analyzing Relationship between the impact of Donor BMI and Recipient BMI on DGF¶

Key Observations¶

1. Donor BMI (dbmi) Impact on DGF:¶

2. Recipient BMI (rbmi) Impact on DGF:¶

3. BMI Mismatch and DGF:¶

4. Clustering Patterns:¶

Conclusion:¶

Time-Based Analysis Between DGF and First Readmission Date After Transplant Discharge¶

Key Insights:¶

Overall Impact of Longer Days to Readmission:¶

Time-based Analysis Between DGF and Recipient Vital Status Date¶

Key Insights¶

Key Insights:¶

Conclusions:¶

The Bivariate Analysis between DGF and independent Variables¶

Data Preparation for Machine Learning Training¶

Dropping date columns¶

Dropping unnecessary columns¶

Handling Missing Data¶

Machine Learning Model Prediction¶

Without Crr2¶

Data Normalization¶

Variables to Normalize¶

Why normalize these variables?¶

General Function to Calculate the Model Accuracy¶

GridSearchCV for Random Forest¶

Predicting DGF¶

GridSearchCV for Support Vector Machine¶

Predicting Crr2¶

GridSearchCV for Logistic Regression¶

Predicting DGF¶

Predicting crr2_lt_30 for Logistic Regression¶

Grid Search CV for Gradient Boosting Tree¶

Gradient Boosting Classifier Scikit-Learn (Sklearn)¶

Gradient Boosting Tree Leave One Out¶

Predicting Crr2 using Gradient Boosting Tree¶

Predicting Crr2_lt30 using Random Forest¶

Predicting crr2¶

With Crr2¶

Normalize the Data¶

Predicting DGF¶

GridSearchCV for Random Forest¶

Ablation Analysis¶

Without Crr2¶

Predicting DGF¶

Predicting crr2_lt30¶

Predicting DGF Withour Crr2¶

Rounded Prediction of DGF without crr2¶

Accuracy-Based Prediction¶

2nd Best Metrics¶

3rd Best Metrics¶

4th Best Metrics¶

Top 10 Models of Predicting DGF Without CRR2¶

Model Performance Metrics¶

Model Parameters¶

Top 50 Models¶

Model Performance Metrics¶

Model Parameters¶

Top 50 Models¶

Model Performance Metrics¶

Model Parameters¶

With Crr2¶

Predicting Crr2_lt30¶

1. Understanding the Target Variable, `DGF`¶

	AUC_train	AUC_test	Accuracy_train	Accuracy_test	F1_Class1_train	F1_Class1_test	F1_Class0_train	F1_Class0_test	params
0	0.7774	0.7656	0.6496	0.6774	0.0406	0.0323	0.7857	0.8065	{'random_state': 8888, 'criterion': 'log_loss'...
1	0.7774	0.7656	0.6496	0.6774	0.0406	0.0323	0.7857	0.8065	{'random_state': 8888, 'criterion': 'entropy',...
2	0.9643	0.7650	0.8747	0.7231	0.7929	0.4663	0.9101	0.8131	{'random_state': 8888, 'criterion': 'log_loss'...
3	0.9643	0.7650	0.8747	0.7231	0.7929	0.4663	0.9101	0.8131	{'random_state': 8888, 'criterion': 'entropy',...
4	0.9646	0.7642	0.8747	0.7258	0.7924	0.4742	0.9102	0.8145	{'random_state': 8888, 'criterion': 'entropy',...
5	0.9646	0.7642	0.8747	0.7258	0.7924	0.4742	0.9102	0.8145	{'random_state': 8888, 'criterion': 'log_loss'...
6	0.9634	0.7640	0.8747	0.7231	0.7924	0.4718	0.9102	0.8124	{'random_state': 8888, 'criterion': 'entropy',...
7	0.9634	0.7640	0.8747	0.7231	0.7924	0.4718	0.9102	0.8124	{'random_state': 8888, 'criterion': 'log_loss'...
8	0.8287	0.7628	0.7520	0.6989	0.5093	0.3333	0.8341	0.8056	{'random_state': 2022, 'criterion': 'log_loss'...
9	0.8287	0.7628	0.7520	0.6989	0.5093	0.3333	0.8341	0.8056	{'random_state': 2022, 'criterion': 'entropy',...

Metric	Model 1	Model 2	Model 3	Model 4	Model 5	Model 6	Model 7	Model 8	Model 9
AUC Test	0.5875	0.5875	0.5931	0.5931	0.5995	0.5995	0.5996	0.5996	0.5791
AUC Train	0.9596	0.9596	0.9628	0.9628	0.967	0.967	0.958	0.958	0.9758
Accuracy Test	0.6962	0.6962	0.6909	0.6909	0.6801	0.6801	0.6801	0.6801	0.6801
Accuracy Train	0.8187	0.8187	0.8208	0.8208	0.8241	0.8241	0.8275	0.8275	0.8443
Cross Val Score Test	0.6587	0.6587	0.6613	0.6613	0.6774	0.6774	0.6639	0.6639	0.6587
Cross Val Score Train	0.6732	0.6732	0.6718	0.6718	0.6712	0.6712	0.6705	0.6705	0.6698
F1 Class 0 Test	0.8094	0.8094	0.8048	0.8048	0.7973	0.7973	0.7959	0.7959	0.798
F1 Class 0 Train	0.8761	0.8761	0.8774	0.8774	0.8791	0.8791	0.881	0.881	0.8916
F1 Class 1 Test	0.2517	0.2517	0.2581	0.2581	0.242	0.242	0.2609	0.2609	0.2323
F1 Class 1 Train	0.6625	0.6625	0.6667	0.6667	0.6774	0.6774	0.6863	0.6863	0.724

Parameter	Model 1	Model 2	Model 3	Model 4	Model 5	Model 6	Model 7	Model 8	Model 9
Random State	2022	2022	8888	8888	777	777	777	777	32
Criterion	entropy	log_loss	log_loss	entropy	entropy	log_loss	entropy	log_loss	gini
n_estimators	50	50	100	100	100	100	50	50	200
max_depth	8	8	8	8	8	8	8	8	8

	param_criterion	param_max_depth	param_n_estimators	param_random_state	mean_test_score	rank_test_score
0	log_loss	8	50	2022	0.673196	1
1	entropy	8	50	2022	0.673196	1
2	entropy	8	100	8888	0.671840	3
3	log_loss	8	100	8888	0.671840	3
4	log_loss	8	100	777	0.671162	5
5	entropy	8	100	777	0.671162	5
6	entropy	8	50	777	0.670486	7
7	log_loss	8	50	777	0.670486	7
8	gini	8	200	32	0.669815	9
9	log_loss	8	100	2022	0.669151	10
10	entropy	8	100	2022	0.669151	10
11	log_loss	8	200	8888	0.668475	12
12	entropy	8	200	8888	0.668475	12
13	gini	8	100	2022	0.668468	14
14	log_loss	32	200	100	0.668464	15
15	entropy	32	200	100	0.668464	15
16	log_loss	8	100	100	0.668459	17
17	entropy	8	100	100	0.668459	17
18	gini	8	150	32	0.667795	19
19	entropy	32	200	8888	0.667793	20
20	gini	8	200	100	0.667793	20
21	log_loss	32	200	8888	0.667793	20
22	gini	32	100	777	0.667791	23
23	gini	16	150	8888	0.667784	24
24	entropy	8	200	32	0.667124	25
25	entropy	8	150	8888	0.667124	25
26	log_loss	8	150	8888	0.667124	25
27	log_loss	8	200	32	0.667124	25
28	log_loss	8	16	100	0.667122	29
29	log_loss	8	150	100	0.667122	29
30	entropy	8	16	100	0.667122	29
31	entropy	8	150	100	0.667122	29
32	gini	8	50	2022	0.667122	29
33	entropy	8	150	32	0.666451	34
34	log_loss	8	150	32	0.666451	34
35	gini	8	200	777	0.666451	36
36	entropy	8	200	100	0.666444	37
37	log_loss	8	200	100	0.666444	37
38	gini	16	100	100	0.666437	39
39	entropy	32	150	32	0.665779	40
40	log_loss	32	150	32	0.665779	40
41	entropy	8	150	777	0.665775	42
42	log_loss	8	150	777	0.665775	42
43	log_loss	32	100	32	0.665111	44
44	entropy	32	100	32	0.665111	44
45	log_loss	8	150	2022	0.665108	46
46	entropy	8	150	2022	0.665108	46
47	gini	8	50	32	0.665106	48
48	entropy	4	16	777	0.665104	49
49	log_loss	4	16	777	0.665104	49

	Model	AUC_train	AUC_test	Accuracy_train	Accuracy_test	F1_Class1_train	F1_Class1_test	F1_Class0_train	F1_Class0_test	Cross_Val_Score_train	Cross_Val_Score_test
0	31	0.9231	0.6062	0.7925	0.6882	0.6071	0.2840	0.8590	0.8007	0.6671	0.6534
1	32	0.9231	0.6062	0.7925	0.6882	0.6071	0.2840	0.8590	0.8007	0.6671	0.6534
2	49	0.7584	0.6035	0.6995	0.6989	0.3160	0.2113	0.8074	0.8140	0.6651	0.6507
3	42	0.9679	0.6032	0.8228	0.6828	0.6733	0.2532	0.8784	0.7986	0.6658	0.6667
4	43	0.9679	0.6032	0.8228	0.6828	0.6733	0.2532	0.8784	0.7986	0.6658	0.6667
5	13	0.9669	0.6002	0.8187	0.6909	0.6616	0.2767	0.8762	0.8034	0.6685	0.6560
6	12	0.9669	0.6002	0.8187	0.6909	0.6616	0.2767	0.8762	0.8034	0.6685	0.6560
7	34	0.9656	0.5999	0.8160	0.6747	0.6557	0.2390	0.8745	0.7932	0.6665	0.6639
8	35	0.9656	0.5999	0.8160	0.6747	0.6557	0.2390	0.8745	0.7932	0.6665	0.6639
9	7	0.9580	0.5996	0.8275	0.6801	0.6863	0.2609	0.8810	0.7959	0.6705	0.6639
10	8	0.9580	0.5996	0.8275	0.6801	0.6863	0.2609	0.8810	0.7959	0.6705	0.6639
11	6	0.9670	0.5995	0.8241	0.6801	0.6774	0.2420	0.8791	0.7973	0.6712	0.6774
12	5	0.9670	0.5995	0.8241	0.6801	0.6774	0.2420	0.8791	0.7973	0.6712	0.6774
13	28	0.9656	0.5975	0.8147	0.6720	0.6532	0.2375	0.8736	0.7911	0.6671	0.6720
14	27	0.9656	0.5975	0.8147	0.6720	0.6532	0.2375	0.8736	0.7911	0.6671	0.6720
15	25	0.9644	0.5972	0.8221	0.6774	0.6700	0.2593	0.8782	0.7938	0.6671	0.6640
16	26	0.9644	0.5972	0.8221	0.6774	0.6700	0.2593	0.8782	0.7938	0.6671	0.6640
17	3	0.9628	0.5931	0.8208	0.6909	0.6667	0.2581	0.8774	0.8048	0.6718	0.6613
18	4	0.9628	0.5931	0.8208	0.6909	0.6667	0.2581	0.8774	0.8048	0.6718	0.6613
19	11	0.9640	0.5908	0.8187	0.6882	0.6625	0.2564	0.8761	0.8027	0.6692	0.6533
20	10	0.9640	0.5908	0.8187	0.6882	0.6625	0.2564	0.8761	0.8027	0.6692	0.6533
21	14	0.9701	0.5907	0.8282	0.6774	0.6863	0.2500	0.8817	0.7945	0.6685	0.6479
22	46	0.9660	0.5885	0.8154	0.6855	0.6532	0.2452	0.8742	0.8014	0.6651	0.6506
23	47	0.9660	0.5885	0.8154	0.6855	0.6532	0.2452	0.8742	0.8014	0.6651	0.6506
24	1	0.9596	0.5875	0.8187	0.6962	0.6625	0.2517	0.8761	0.8094	0.6732	0.6587
25	2	0.9596	0.5875	0.8187	0.6962	0.6625	0.2517	0.8761	0.8094	0.6732	0.6587
26	36	0.9755	0.5870	0.8389	0.6882	0.7110	0.2750	0.8884	0.8014	0.6665	0.6613
27	20	0.9742	0.5860	0.8356	0.6909	0.7024	0.2945	0.8864	0.8021	0.6678	0.6372
28	37	0.9674	0.5836	0.8073	0.6855	0.6333	0.2452	0.8693	0.8014	0.6664	0.6452
29	38	0.9674	0.5836	0.8073	0.6855	0.6333	0.2452	0.8693	0.8014	0.6664	0.6452
30	19	0.9762	0.5830	0.8443	0.6694	0.7240	0.2264	0.8916	0.7897	0.6678	0.6587
31	29	0.9650	0.5814	0.8073	0.6855	0.6333	0.2452	0.8693	0.8014	0.6671	0.6560
32	33	0.9650	0.5814	0.8073	0.6855	0.6333	0.2452	0.8693	0.8014	0.6671	0.6560
33	22	1.0000	0.5798	1.0000	0.6828	1.0000	0.3295	1.0000	0.7923	0.6678	0.6719
34	21	1.0000	0.5798	1.0000	0.6828	1.0000	0.3295	1.0000	0.7923	0.6678	0.6719
35	18	0.9606	0.5792	0.8080	0.6774	0.6360	0.2208	0.8696	0.7966	0.6685	0.6613
36	17	0.9606	0.5792	0.8080	0.6774	0.6360	0.2208	0.8696	0.7966	0.6685	0.6613
37	9	0.9758	0.5791	0.8443	0.6801	0.7240	0.2323	0.8916	0.7980	0.6698	0.6587
38	30	0.9706	0.5750	0.8336	0.6855	0.6977	0.2452	0.8852	0.8014	0.6671	0.6561
39	16	1.0000	0.5743	1.0000	0.6694	1.0000	0.2890	1.0000	0.7846	0.6685	0.6720
40	15	1.0000	0.5743	1.0000	0.6694	1.0000	0.2890	1.0000	0.7846	0.6685	0.6720
41	48	0.9712	0.5684	0.8470	0.6720	0.7307	0.2375	0.8932	0.7911	0.6651	0.6506
42	39	1.0000	0.5643	1.0000	0.6559	1.0000	0.2889	1.0000	0.7730	0.6664	0.6586
43	41	1.0000	0.5564	1.0000	0.6586	1.0000	0.2573	1.0000	0.7784	0.6658	0.6801
44	40	1.0000	0.5564	1.0000	0.6586	1.0000	0.2573	1.0000	0.7784	0.6658	0.6801
45	24	1.0000	0.5556	1.0000	0.6532	1.0000	0.2629	1.0000	0.7733	0.6678	0.6775
46	23	1.0000	0.5540	1.0000	0.6694	1.0000	0.2635	1.0000	0.7868	0.6678	0.6666
47	45	1.0000	0.5509	1.0000	0.6694	1.0000	0.2635	1.0000	0.7868	0.6651	0.6747
48	44	1.0000	0.5509	1.0000	0.6694	1.0000	0.2635	1.0000	0.7868	0.6651	0.6747

Metric	Model 1	Model 2	Model 3	Model 4	Model 5	Model 6	Model 7	Model 8	Model 9
AUC Test	0.6288	0.6288	0.62	0.62	0.6062	0.6062	0.6252	0.6303	0.6303
AUC Train	0.9523	0.9523	0.7603	0.7603	0.7509	0.7509	0.7416	0.9533	0.9533
Accuracy Test	0.6102	0.6102	0.5995	0.5995	0.6022	0.6022	0.6022	0.6022	0.6022
Accuracy Train	0.8679	0.8679	0.6698	0.6698	0.6536	0.6536	0.6577	0.8699	0.8699
Cross Val Score Test	0.5831	0.5831	0.6021	0.6021	0.5914	0.5914	0.5968	0.5752	0.5752
Cross Val Score Train	0.591	0.591	0.5903	0.5903	0.5896	0.5896	0.5876	0.5876	0.5876
F1 Class 0 Test	0.6799	0.6799	0.6902	0.6902	0.6929	0.6929	0.6955	0.6769	0.6769
F1 Class 0 Train	0.8836	0.8836	0.7363	0.7363	0.7272	0.7272	0.7321	0.8855	0.8855
F1 Class 1 Test	0.5017	0.5017	0.4335	0.4335	0.4351	0.4351	0.4264	0.4825	0.4825
F1 Class 1 Train	0.8474	0.8474	0.5586	0.5586	0.5258	0.5258	0.5261	0.8496	0.8496

	param_criterion	param_max_depth	param_n_estimators	param_random_state	mean_test_score	rank_test_score
0	log_loss	8	100	8888	0.590955	1
1	entropy	8	100	8888	0.590955	1
2	log_loss	4	150	32	0.590277	3
3	entropy	4	150	32	0.590277	3
4	log_loss	4	50	8888	0.589603	5
5	entropy	4	50	8888	0.589603	5
6	gini	4	16	777	0.587599	7
7	entropy	8	200	8888	0.587592	8
8	log_loss	8	200	8888	0.587592	8
9	gini	8	100	777	0.587588	10
10	gini	4	8	8888	0.586910	11
11	entropy	4	100	8888	0.586241	12
12	log_loss	4	100	8888	0.586241	12
13	log_loss	8	50	8888	0.586234	14
14	entropy	8	50	8888	0.586234	14
15	gini	4	150	32	0.586227	16
16	log_loss	16	50	2022	0.585570	17
17	entropy	16	50	2022	0.585570	17
18	entropy	8	150	8888	0.585567	19
19	log_loss	8	150	8888	0.585567	19
20	entropy	4	200	100	0.585563	21
21	log_loss	4	200	100	0.585563	21
22	log_loss	4	16	32	0.585549	23
23	entropy	4	16	32	0.585549	23
24	log_loss	4	16	100	0.584218	25
25	entropy	4	16	100	0.584218	25
26	entropy	4	50	2022	0.583547	27
27	log_loss	4	50	2022	0.583547	27
28	gini	2	100	32	0.583540	29
29	entropy	4	100	777	0.583540	30
30	log_loss	4	100	777	0.583540	30
31	entropy	4	50	32	0.583534	32
32	entropy	4	200	32	0.583534	32
33	log_loss	4	200	32	0.583534	32
34	log_loss	4	50	32	0.583534	32
35	log_loss	2	16	32	0.582876	36
36	entropy	2	16	32	0.582876	36
37	gini	4	200	32	0.582869	38
38	entropy	4	100	32	0.582865	39
39	log_loss	4	100	32	0.582865	39
40	log_loss	2	16	777	0.582216	41
41	entropy	2	16	777	0.582216	41
42	gini	32	200	100	0.582207	43
43	gini	4	8	777	0.582200	44
44	log_loss	4	150	8888	0.582194	45
45	entropy	4	150	8888	0.582194	45
46	gini	4	200	2022	0.582191	47
47	gini	8	200	777	0.582189	48
48	gini	4	100	8888	0.582178	49
49	entropy	2	8	32	0.581545	50

Metric	Model 1	Model 2	Model 3	Model 4	Model 5	Model 6	Model 7	Model 8	Model 9
AUC Test	0.7388	0.7388	0.751	0.751	0.7337	0.7337	0.7334	0.7334	0.7586
AUC Train	1.0	1.0	1.0	1.0	1.0	1.0	0.9503	0.9503	0.9631
Accuracy Test	0.6935	0.6935	0.7151	0.7151	0.7097	0.7097	0.7231	0.7231	0.7204
Accuracy Train	1.0	1.0	1.0	1.0	1.0	1.0	0.8619	0.8619	0.8767
Cross Val Score Test	0.6799	0.6799	0.6961	0.6961	0.6854	0.6854	0.6692	0.6692	0.6935
Cross Val Score Train	0.7163	0.7163	0.7156	0.7156	0.7143	0.7143	0.7136	0.7136	0.7123
F1 Class 0 Test	0.7881	0.7881	0.8037	0.8037	0.7993	0.7993	0.811	0.811	0.8109
F1 Class 0 Train	1.0	1.0	1.0	1.0	1.0	1.0	0.8995	0.8995	0.9114
F1 Class 1 Test	0.4466	0.4466	0.4804	0.4804	0.4757	0.4757	0.4824	0.4824	0.4639
F1 Class 1 Train	1.0	1.0	1.0	1.0	1.0	1.0	0.7793	0.7793	0.7973

	param_criterion	param_max_depth	param_n_estimators	param_random_state	mean_test_score	rank_test_score
0	entropy	16	150	100	0.716314	1
1	log_loss	16	150	100	0.716314	1
2	entropy	16	150	8888	0.715650	3
3	log_loss	16	150	8888	0.715650	3
4	entropy	32	100	2022	0.714305	5
5	log_loss	32	100	2022	0.714305	5
6	log_loss	8	16	2022	0.713627	7
7	entropy	8	16	2022	0.713627	7
8	entropy	8	150	2022	0.712280	9
9	log_loss	8	150	2022	0.712280	9
10	gini	8	100	777	0.712276	11
11	log_loss	32	100	32	0.711623	12
12	entropy	32	100	32	0.711623	12
13	entropy	32	200	2022	0.711612	14
14	log_loss	32	50	32	0.711612	14
15	entropy	32	50	32	0.711612	14
16	log_loss	32	200	2022	0.711612	14
17	gini	8	100	32	0.711609	18
18	entropy	32	150	777	0.711605	19
19	log_loss	32	150	777	0.711605	19
20	entropy	16	50	100	0.711603	21
21	log_loss	16	50	100	0.711603	21
22	gini	8	50	100	0.711603	23
23	entropy	16	100	100	0.711600	24
24	log_loss	16	100	100	0.711600	24
25	log_loss	8	100	32	0.710943	26
26	entropy	8	100	32	0.710943	26
27	entropy	16	100	8888	0.710936	28
28	log_loss	16	100	8888	0.710936	28
29	entropy	32	150	100	0.710934	30
30	log_loss	32	150	100	0.710934	30
31	entropy	16	200	8888	0.710931	32
32	log_loss	16	200	8888	0.710931	32
33	entropy	32	200	777	0.710253	34
34	log_loss	32	200	777	0.710253	34
35	log_loss	16	200	100	0.710251	36
36	entropy	16	200	100	0.710251	36
37	entropy	32	150	32	0.709591	38
38	log_loss	32	150	32	0.709591	38
39	gini	16	150	2022	0.709587	40
40	log_loss	8	50	777	0.709582	41
41	entropy	8	100	2022	0.709582	41
42	entropy	8	50	777	0.709582	41
43	log_loss	8	100	2022	0.709582	41
44	entropy	16	150	32	0.708918	45
45	log_loss	16	150	32	0.708918	45
46	entropy	16	100	32	0.708918	47
47	log_loss	16	100	32	0.708918	47
48	gini	8	150	32	0.708913	49
49	log_loss	32	50	777	0.708904	50